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Directory All Alternatives Data Tools Sustainability Emerging Markets EU & North America Project Name Short Project Description URL Photography Tool: Black & White Conversion A basic photo editor to convert PNG pictures from color to Black and White /projects-1/photography-tool%3A-black-%26-white-conversion How much time do I have left? - Version 2 Visualizing and Quantifying our most valuable asset: "Time"; Version 2 Prisoner's Dilemma: Player 2 Allowing users to participate in Robert Axelrod's 1980 Computer Tournament. /projects-1/prisoner's-dilemma%3A-player-2 Initial margin requirement for Derivative Trading A simplified VaR-based approach to calculate the initial margin requirement for Derivative Trading /projects-1/initial-margin-requirement-for-derivative-trading Expected Loss Calculator A simple tool to calculate the Expected Loss for a credit portfolio. /projects-1/expected-loss-calculator Value at Risk (VaR) for a portfolio Simple Tool using a historical simulation to find VaR Game Theory: Prisoner's Dilemma Strategies Tools Recreating and Simulating Robert Axelrod's 1980 Computer Tournament. /projects-1/game-theory%3A-prisoner's-dilemma-strategies-tools How Much Time Do I have left? Visualizing and Quantifying our most valuable asset: "Time" /projects-1/how-much-time-do-i-have-left%3F Implementing design thinking for efficiency in Ghana's public sector This research paper introduces a remedy for Ghana's weak public sector by exploring the implementation of Design Thinking into the sector's practices. /projects-1/implementing-design-thinking-for-efficiency-in-ghana's-public-sector Hollywood Boulevard to Wall Street: Futurism in Movies and Tech-Stock Prices This study investigates the relationship between the box office sales of futurism-themed movies and the performance of the tech stock index. /projects-1/hollywood-boulevard-to-wall-street%3A-futurism-in-movies-and-tech-stock-prices frankenstein.io - Draft 1 Restructuring & Simplifying "Frankenstein codes" /projects-1/frankenstein.io---draft-1 Data Visualization of the Dynamic Efficiency of Oil and Gas Production in Ghana A comprehensive tool for understanding the Real-time Efficiency of Oil and Gas production in Ghana /projects-1/data-visualization-of-the-dynamic-efficiency-of-oil-and-gas-production-in-ghana Hedonic Valuation Model: Real Estate in Zurich With significant portions of banks portfolios consisting of mortgage loans, it is paramount to develop a strong model for valuating real estate. /projects-1/hedonic-valuation-model%3A-real-estate-in-zurich Manipulating File Paths: Backward to Foward Slashes A program made to convert backward slashes in file path names to foward slashes. Targeted for Windows users when copying paths to R or Pthon. /projects-1/manipulating-file-paths%3A-backward-to-foward-slashes Beta of Fan Milk Ltd (FML): Ghana Stock Exchange (GSE) Finding the Beta of FML on the GSE using Python (Jupyter Notebook) /projects-1/beta-of-fan-milk-ltd-(fml)%3A-ghana-stock-exchange-(gse) Fixed Deposits Offers in Ghana A simple directory that shows Fixed Deposit offers in Ghana /projects-1/fixed-deposits-offers-in-ghana Plain Vanilla Bond Price Calculator A web application that takes the arguments of FV, Coupon Rate, YTM and Periods to price a Plain Vanilla Bond /projects-1/plain-vanilla-bond-price-calculator Convering Excel to CSV: Web Application A basic Web application written in HTML and Javascript to convert excel files to CSV. /projects-1/convering-excel-to-csv%3A-web-application Electricity Consumption as a proxy of production: Draft 1 Using publicly available data on Swiss Power Consumption, this exploration seeks to identify an association with power consumption and select firms output /projects-1/electricity-consumption-as-a-proxy-of-production%3A-draft-1 Ghana Stock Exchange: Real-Time Prices Web App V1 A basic web-application to find real time summaries of stocks on Ghana's Stock Exchange (GSE) /projects-1/ghana-stock-exchange%3A-real-time-prices-web-app-v1 Do Sustainable Funds in Switzerland outperform the Market? What is the performance of "sustainable" funds in relation to the market? Let's explore the case of the SIX Swiss Exchange /projects-1/do-sustainable-funds-in-switzerland-outperform-the-market%3F Dynamic View of Trading Hours: SIX Swiss Exchange V1 Dynamic View of the opening and closing hours of the SIX Swiss Stock exchange for 2024. Additionally, current summary of the market's activity is stated. /projects-1/dynamic-view-of-trading-hours%3A-six-swiss-exchange-v1 Sustainability Dimensions of Stocks on the SIX:Render 3 Quantitatively assessing Brundtland's Dimensions (1987). The case of the SIX https://www.akweidata.com/sixsustainabilitydimensions Web-Scrapper V1: Web Application Web Application for web-scrapping news articles /projects-1/web-scrapper-v1%3A-web-application Is ignorance truly bliss? Investigating the link between the lack of general information and the conception of the economy in Ghana. Project from 2018 /projects-1/is-ignorance-truly-bliss%3F- Alternative Data Regressor: V1 A Python Program to attain a linear regression of some alternative data against financial asset prices . A CSV file is the input. The output is the regression results. /projects-1/alternative-data-regressor%3A-v1 Alternative Data Regressor Framework: Flow Chart A framework for linear regression of alternative data against financial asset prices - the flow chart /projects-1/alternative-data-regressor-framework%3A-flow-chart Paradox of Choice and Utility Maximization: Music Traditional Asset Pricing models are conceptually based on utility maximization. However, what about the role of the quantity of choices in utility maximization? /projects-1/paradox-of-choice-and-utility-maximization%3A-music ESG Strategies: Passive and Active Management Do the laws of passive and active strategies also affect sustainability investing? /projects-1/esg-strategies%3A-passive-and-active-management Web scrapping Box Office Sales A python code used to web scrape data from Box Office Mojo's Website. /projects-1/web-scrapping-box-office-sales Alternative Data Regressor Framework: Draft 1 A framework for linear regression of alternative data against financial asset prices /projects-1/alternative-data-regressor-framework%3A-draft-1 Scrapping Oil related articles Run on python via GoogleCollab /projects-1/scrapping-oil-related-articles Sustainability Dimensions of Stocks on the SIX:Render 2 Quantitatively assessing Brundtland's Dimensions (1987). The case of the SIX /projects-1/sustainability-dimensions-of-stocks-on-the-six%3Arender-2 Smartphone App for University Students An all-purpose app for Ashesi students. Project from 2017 /projects-1/smartphone-app-for-university-students Proving the Butterfly Effect Within the context of metreology and physics, we can explore the butterfly effect /projects-1/proving-the-butterfly-effect Cocoa Production: Ghana and Ivory Coast - Historic Trend Work in progress /projects-1/cocoa-production%3A-ghana-and-ivory-coast---historic-trend Cocoa Production: West Africa - 2022 Work in progress /projects-1/cocoa-production%3A-west-africa---2022 Cocoa Production: Ghana and Ivory Coast - 2022 Summary of Cocoa Production in Ghana and Ivory Coast in 2022. /projects-1/cocoa-production%3A-ghana-and-ivory-coast---2022 Commentary: Washington’s Decision to “Normalize” Relations with Cuba..." An economic commentary on the article "Washington’s Decision to “Normalize” Relations with Cuba: Impede China’s Growing Influence in Latin America" /projects-1/commentary%3A-washington%E2%80%99s-decision-to-%E2%80%9Cnormalize%E2%80%9D-relations-with-cuba...%22 Commentary: Brexit could lead to recession, says Bank of England An economic commentary on the article "Brexit could lead to recession, says Bank of England" /projects-1/commentary%3A-brexit-could-lead-to-recession%2C-says-bank-of-england Commentary: Ghana fixes new cocoa price to control smuggling An economic commentary on the Article, "Ghana fixes new cocoa price to control smuggling" /projects-1/commentary%3A-ghana-fixes-new-cocoa-price-to-control-smuggling Sustainability Dimensions of Stocks on the SIX:Render 1 Quantitatively assessing Brundtland's Dimensions (1987). The case of the SIX http://sustainability-dimensions-of-stocks-on-the-six%3Arender-1 The Solow Model and Human Capital in Developing Economies How can human capital enrichment lead to long-run economic growth? /projects-1/the-solow-model-and-human-capital-in-developing-economies Scrapping Data using Python A Python application designed to generate a histogram depicting the frequency of articles published on Google News in 2022 concerning '@celebjets'. /projects-1/scrapping-data-using-python Dynamic View of Ghana's Unemployment Investigating the trend and segmentation of employment in Ghana /projects-1/dynamic-view-of-ghana's-unemployment Google News Scrapper Scrape Google News articles for a particulair keyword and date range /projects-1/google-news-scrapper Dynamic view of Ghana's Insurance Industry Work in progress /projects-1/dynamic-view-of-ghana's-insurance-industry Snapshot Macroeconomic Summary of ECOWAS States: 2022 As at the end of 2022, this is was the macroeconomic status of each ECOWAS state http://snapshot-macroeconomic-summary-of-ecowas Dynamic Forestry and Agricultural Summary of ECOWAS states Work in progress /projects-1/dynamic-forestry-and-agricultural-summary-of-ecowas-states Financial Performance of Ghana's political regimes from 1960 - 2000 Analysis of Economic Growth in Ghana, 1960 – 2000 – ARYEETEY & FOSU /projects-1/financial-performance-of-ghana's-political-regimes-from-1960---2000 Dynamic view of Ghana's Forestry Work in progress /projects-1/dynamic-view-of-ghana's-forestry Project Name Short Project Description URL Photography Tool: Black & White Conversion A basic photo editor to convert PNG pictures from color to Black and White /projects-1/photography-tool%3A-black-%26-white-conversion How much time do I have left? - Version 2 Visualizing and Quantifying our most valuable asset: "Time"; Version 2 Prisoner's Dilemma: Player 2 Allowing users to participate in Robert Axelrod's 1980 Computer Tournament. /projects-1/prisoner's-dilemma%3A-player-2 Initial margin requirement for Derivative Trading A simplified VaR-based approach to calculate the initial margin requirement for Derivative Trading /projects-1/initial-margin-requirement-for-derivative-trading Expected Loss Calculator A simple tool to calculate the Expected Loss for a credit portfolio. /projects-1/expected-loss-calculator Value at Risk (VaR) for a portfolio Simple Tool using a historical simulation to find VaR Game Theory: Prisoner's Dilemma Strategies Tools Recreating and Simulating Robert Axelrod's 1980 Computer Tournament. /projects-1/game-theory%3A-prisoner's-dilemma-strategies-tools How Much Time Do I have left? Visualizing and Quantifying our most valuable asset: "Time" /projects-1/how-much-time-do-i-have-left%3F frankenstein.io - Draft 1 Restructuring & Simplifying "Frankenstein codes" /projects-1/frankenstein.io---draft-1 Data Visualization of the Dynamic Efficiency of Oil and Gas Production in Ghana A comprehensive tool for understanding the Real-time Efficiency of Oil and Gas production in Ghana /projects-1/data-visualization-of-the-dynamic-efficiency-of-oil-and-gas-production-in-ghana Hedonic Valuation Model: Real Estate in Zurich With significant portions of banks portfolios consisting of mortgage loans, it is paramount to develop a strong model for valuating real estate. /projects-1/hedonic-valuation-model%3A-real-estate-in-zurich Manipulating File Paths: Backward to Foward Slashes A program made to convert backward slashes in file path names to foward slashes. Targeted for Windows users when copying paths to R or Pthon. /projects-1/manipulating-file-paths%3A-backward-to-foward-slashes Beta of Fan Milk Ltd (FML): Ghana Stock Exchange (GSE) Finding the Beta of FML on the GSE using Python (Jupyter Notebook) /projects-1/beta-of-fan-milk-ltd-(fml)%3A-ghana-stock-exchange-(gse) Fixed Deposits Offers in Ghana A simple directory that shows Fixed Deposit offers in Ghana /projects-1/fixed-deposits-offers-in-ghana Plain Vanilla Bond Price Calculator A web application that takes the arguments of FV, Coupon Rate, YTM and Periods to price a Plain Vanilla Bond /projects-1/plain-vanilla-bond-price-calculator Convering Excel to CSV: Web Application A basic Web application written in HTML and Javascript to convert excel files to CSV. /projects-1/convering-excel-to-csv%3A-web-application Ghana Stock Exchange: Real-Time Prices Web App V1 A basic web-application to find real time summaries of stocks on Ghana's Stock Exchange (GSE) /projects-1/ghana-stock-exchange%3A-real-time-prices-web-app-v1 Sustainability Dimensions of Stocks on the SIX:Render 3 Quantitatively assessing Brundtland's Dimensions (1987). The case of the SIX https://www.akweidata.com/sixsustainabilitydimensions Web-Scrapper V1: Web Application Web Application for web-scrapping news articles /projects-1/web-scrapper-v1%3A-web-application Alternative Data Regressor: V1 A Python Program to attain a linear regression of some alternative data against financial asset prices . A CSV file is the input. The output is the regression results. /projects-1/alternative-data-regressor%3A-v1 Alternative Data Regressor Framework: Flow Chart A framework for linear regression of alternative data against financial asset prices - the flow chart /projects-1/alternative-data-regressor-framework%3A-flow-chart Web scrapping Box Office Sales A python code used to web scrape data from Box Office Mojo's Website. /projects-1/web-scrapping-box-office-sales Scrapping Oil related articles Run on python via GoogleCollab /projects-1/scrapping-oil-related-articles Sustainability Dimensions of Stocks on the SIX:Render 2 Quantitatively assessing Brundtland's Dimensions (1987). The case of the SIX /projects-1/sustainability-dimensions-of-stocks-on-the-six%3Arender-2 Proving the Butterfly Effect Within the context of metreology and physics, we can explore the butterfly effect /projects-1/proving-the-butterfly-effect Google News Scrapper Scrape Google News articles for a particulair keyword and date range /projects-1/google-news-scrapper Project Name Short Project Description URL Implementing design thinking for efficiency in Ghana's public sector This research paper introduces a remedy for Ghana's weak public sector by exploring the implementation of Design Thinking into the sector's practices. /projects-1/implementing-design-thinking-for-efficiency-in-ghana's-public-sector Data Visualization of the Dynamic Efficiency of Oil and Gas Production in Ghana A comprehensive tool for understanding the Real-time Efficiency of Oil and Gas production in Ghana /projects-1/data-visualization-of-the-dynamic-efficiency-of-oil-and-gas-production-in-ghana Beta of Fan Milk Ltd (FML): Ghana Stock Exchange (GSE) Finding the Beta of FML on the GSE using Python (Jupyter Notebook) /projects-1/beta-of-fan-milk-ltd-(fml)%3A-ghana-stock-exchange-(gse) Fixed Deposits Offers in Ghana A simple directory that shows Fixed Deposit offers in Ghana /projects-1/fixed-deposits-offers-in-ghana Ghana Stock Exchange: Real-Time Prices Web App V1 A basic web-application to find real time summaries of stocks on Ghana's Stock Exchange (GSE) /projects-1/ghana-stock-exchange%3A-real-time-prices-web-app-v1 Is ignorance truly bliss? Investigating the link between the lack of general information and the conception of the economy in Ghana. Project from 2018 /projects-1/is-ignorance-truly-bliss%3F- Scrapping Oil related articles Run on python via GoogleCollab /projects-1/scrapping-oil-related-articles Smartphone App for University Students An all-purpose app for Ashesi students. Project from 2017 /projects-1/smartphone-app-for-university-students Cocoa Production: Ghana and Ivory Coast - Historic Trend Work in progress /projects-1/cocoa-production%3A-ghana-and-ivory-coast---historic-trend Cocoa Production: West Africa - 2022 Work in progress /projects-1/cocoa-production%3A-west-africa---2022 Cocoa Production: Ghana and Ivory Coast - 2022 Summary of Cocoa Production in Ghana and Ivory Coast in 2022. /projects-1/cocoa-production%3A-ghana-and-ivory-coast---2022 Commentary: Ghana fixes new cocoa price to control smuggling An economic commentary on the Article, "Ghana fixes new cocoa price to control smuggling" /projects-1/commentary%3A-ghana-fixes-new-cocoa-price-to-control-smuggling The Solow Model and Human Capital in Developing Economies How can human capital enrichment lead to long-run economic growth? /projects-1/the-solow-model-and-human-capital-in-developing-economies Dynamic View of Ghana's Unemployment Investigating the trend and segmentation of employment in Ghana /projects-1/dynamic-view-of-ghana's-unemployment Dynamic view of Ghana's Insurance Industry Work in progress /projects-1/dynamic-view-of-ghana's-insurance-industry Snapshot Macroeconomic Summary of ECOWAS States: 2022 As at the end of 2022, this is was the macroeconomic status of each ECOWAS state http://snapshot-macroeconomic-summary-of-ecowas Dynamic Forestry and Agricultural Summary of ECOWAS states Work in progress /projects-1/dynamic-forestry-and-agricultural-summary-of-ecowas-states Financial Performance of Ghana's political regimes from 1960 - 2000 Analysis of Economic Growth in Ghana, 1960 – 2000 – ARYEETEY & FOSU /projects-1/financial-performance-of-ghana's-political-regimes-from-1960---2000 Dynamic view of Ghana's Forestry Work in progress /projects-1/dynamic-view-of-ghana's-forestry Project Name Short Project Description URL Initial margin requirement for Derivative Trading A simplified VaR-based approach to calculate the initial margin requirement for Derivative Trading /projects-1/initial-margin-requirement-for-derivative-trading Expected Loss Calculator A simple tool to calculate the Expected Loss for a credit portfolio. /projects-1/expected-loss-calculator Value at Risk (VaR) for a portfolio Simple Tool using a historical simulation to find VaR Data Visualization of the Dynamic Efficiency of Oil and Gas Production in Ghana A comprehensive tool for understanding the Real-time Efficiency of Oil and Gas production in Ghana /projects-1/data-visualization-of-the-dynamic-efficiency-of-oil-and-gas-production-in-ghana Fixed Deposits Offers in Ghana A simple directory that shows Fixed Deposit offers in Ghana /projects-1/fixed-deposits-offers-in-ghana Do Sustainable Funds in Switzerland outperform the Market? What is the performance of "sustainable" funds in relation to the market? Let's explore the case of the SIX Swiss Exchange /projects-1/do-sustainable-funds-in-switzerland-outperform-the-market%3F Sustainability Dimensions of Stocks on the SIX:Render 3 Quantitatively assessing Brundtland's Dimensions (1987). The case of the SIX https://www.akweidata.com/sixsustainabilitydimensions ESG Strategies: Passive and Active Management Do the laws of passive and active strategies also affect sustainability investing? /projects-1/esg-strategies%3A-passive-and-active-management Scrapping Oil related articles Run on python via GoogleCollab /projects-1/scrapping-oil-related-articles Sustainability Dimensions of Stocks on the SIX:Render 2 Quantitatively assessing Brundtland's Dimensions (1987). The case of the SIX /projects-1/sustainability-dimensions-of-stocks-on-the-six%3Arender-2 Smartphone App for University Students An all-purpose app for Ashesi students. Project from 2017 /projects-1/smartphone-app-for-university-students Cocoa Production: Ghana and Ivory Coast - Historic Trend Work in progress /projects-1/cocoa-production%3A-ghana-and-ivory-coast---historic-trend Cocoa Production: West Africa - 2022 Work in progress /projects-1/cocoa-production%3A-west-africa---2022 Cocoa Production: Ghana and Ivory Coast - 2022 Summary of Cocoa Production in Ghana and Ivory Coast in 2022. /projects-1/cocoa-production%3A-ghana-and-ivory-coast---2022 Commentary: Ghana fixes new cocoa price to control smuggling An economic commentary on the Article, "Ghana fixes new cocoa price to control smuggling" /projects-1/commentary%3A-ghana-fixes-new-cocoa-price-to-control-smuggling Sustainability Dimensions of Stocks on the SIX:Render 1 Quantitatively assessing Brundtland's Dimensions (1987). The case of the SIX http://sustainability-dimensions-of-stocks-on-the-six%3Arender-1 Dynamic Forestry and Agricultural Summary of ECOWAS states Work in progress /projects-1/dynamic-forestry-and-agricultural-summary-of-ecowas-states Dynamic view of Ghana's Forestry Work in progress /projects-1/dynamic-view-of-ghana's-forestry Project Name Short Project Description URL Hedonic Valuation Model: Real Estate in Zurich With significant portions of banks portfolios consisting of mortgage loans, it is paramount to develop a strong model for valuating real estate. /projects-1/hedonic-valuation-model%3A-real-estate-in-zurich Electricity Consumption as a proxy of production: Draft 1 Using publicly available data on Swiss Power Consumption, this exploration seeks to identify an association with power consumption and select firms output /projects-1/electricity-consumption-as-a-proxy-of-production%3A-draft-1 Do Sustainable Funds in Switzerland outperform the Market? What is the performance of "sustainable" funds in relation to the market? Let's explore the case of the SIX Swiss Exchange /projects-1/do-sustainable-funds-in-switzerland-outperform-the-market%3F Dynamic View of Trading Hours: SIX Swiss Exchange V1 Dynamic View of the opening and closing hours of the SIX Swiss Stock exchange for 2024. Additionally, current summary of the market's activity is stated. /projects-1/dynamic-view-of-trading-hours%3A-six-swiss-exchange-v1 Sustainability Dimensions of Stocks on the SIX:Render 3 Quantitatively assessing Brundtland's Dimensions (1987). The case of the SIX https://www.akweidata.com/sixsustainabilitydimensions Web scrapping Box Office Sales A python code used to web scrape data from Box Office Mojo's Website. /projects-1/web-scrapping-box-office-sales Sustainability Dimensions of Stocks on the SIX:Render 2 Quantitatively assessing Brundtland's Dimensions (1987). The case of the SIX /projects-1/sustainability-dimensions-of-stocks-on-the-six%3Arender-2 Commentary: Washington’s Decision to “Normalize” Relations with Cuba..." An economic commentary on the article "Washington’s Decision to “Normalize” Relations with Cuba: Impede China’s Growing Influence in Latin America" /projects-1/commentary%3A-washington%E2%80%99s-decision-to-%E2%80%9Cnormalize%E2%80%9D-relations-with-cuba...%22 Commentary: Brexit could lead to recession, says Bank of England An economic commentary on the article "Brexit could lead to recession, says Bank of England" /projects-1/commentary%3A-brexit-could-lead-to-recession%2C-says-bank-of-england Sustainability Dimensions of Stocks on the SIX:Render 1 Quantitatively assessing Brundtland's Dimensions (1987). The case of the SIX http://sustainability-dimensions-of-stocks-on-the-six%3Arender-1 Project Name Short Project Description URL How much time do I have left? - Version 2 Visualizing and Quantifying our most valuable asset: "Time"; Version 2 Prisoner's Dilemma: Player 2 Allowing users to participate in Robert Axelrod's 1980 Computer Tournament. /projects-1/prisoner's-dilemma%3A-player-2 Game Theory: Prisoner's Dilemma Strategies Tools Recreating and Simulating Robert Axelrod's 1980 Computer Tournament. /projects-1/game-theory%3A-prisoner's-dilemma-strategies-tools How Much Time Do I have left? Visualizing and Quantifying our most valuable asset: "Time" /projects-1/how-much-time-do-i-have-left%3F Hollywood Boulevard to Wall Street: Futurism in Movies and Tech-Stock Prices This study investigates the relationship between the box office sales of futurism-themed movies and the performance of the tech stock index. /projects-1/hollywood-boulevard-to-wall-street%3A-futurism-in-movies-and-tech-stock-prices Electricity Consumption as a proxy of production: Draft 1 Using publicly available data on Swiss Power Consumption, this exploration seeks to identify an association with power consumption and select firms output /projects-1/electricity-consumption-as-a-proxy-of-production%3A-draft-1 Dynamic View of Trading Hours: SIX Swiss Exchange V1 Dynamic View of the opening and closing hours of the SIX Swiss Stock exchange for 2024. Additionally, current summary of the market's activity is stated. /projects-1/dynamic-view-of-trading-hours%3A-six-swiss-exchange-v1 Web-Scrapper V1: Web Application Web Application for web-scrapping news articles /projects-1/web-scrapper-v1%3A-web-application Is ignorance truly bliss? Investigating the link between the lack of general information and the conception of the economy in Ghana. Project from 2018 /projects-1/is-ignorance-truly-bliss%3F- Alternative Data Regressor: V1 A Python Program to attain a linear regression of some alternative data against financial asset prices . A CSV file is the input. The output is the regression results. /projects-1/alternative-data-regressor%3A-v1 Alternative Data Regressor Framework: Flow Chart A framework for linear regression of alternative data against financial asset prices - the flow chart /projects-1/alternative-data-regressor-framework%3A-flow-chart Paradox of Choice and Utility Maximization: Music Traditional Asset Pricing models are conceptually based on utility maximization. However, what about the role of the quantity of choices in utility maximization? /projects-1/paradox-of-choice-and-utility-maximization%3A-music Web scrapping Box Office Sales A python code used to web scrape data from Box Office Mojo's Website. /projects-1/web-scrapping-box-office-sales Alternative Data Regressor Framework: Draft 1 A framework for linear regression of alternative data against financial asset prices /projects-1/alternative-data-regressor-framework%3A-draft-1 Scrapping Oil related articles Run on python via GoogleCollab /projects-1/scrapping-oil-related-articles Proving the Butterfly Effect Within the context of metreology and physics, we can explore the butterfly effect /projects-1/proving-the-butterfly-effect Scrapping Data using Python A Python application designed to generate a histogram depicting the frequency of articles published on Google News in 2022 concerning '@celebjets'. /projects-1/scrapping-data-using-python Google News Scrapper Scrape Google News articles for a particulair keyword and date range /projects-1/google-news-scrapper

< Back Is ignorance truly bliss? Investigating the link between the lack of general information and the conception of the economy in Ghana. Project from 2018 I am an avid lover of George Orwell’s book 1984. Within the book, a major concept that plays on is that ignorance is bliss. Hence, people living in poverty (the proles) with limited availability to information on the economy somehow live happily. So, I started to ponder upon how such a concept plays within my continent. Is ignorance truly bliss? With poverty in Africa being so high, is the absence of information about the economy to the general members of the society the cause of social stability in spite of economic turmoil (Asogwa, Eze, & Ezema, 2017)? When the economy is in shambles and the political sphere is in disarray are we still under the misconception that all is well? Does happiness exist in poverty?(Graham, 2011) Research Topic: Is ignorance truly bliss? Investigating the link between the lack of general information and the conception of the economy in Ghana. Is the conception of the present economic condition in a country by members of the public associated with how often they use the internet as a source of news? Data & methods This sample is taking from the Afro – barometer. It depicts 2400 respondents from Ghana answering questions pertaining to their perception of the economy and their use of the internet as a source of news. In relation to the research topic, investigating the use of the internet as a source of news is what is being presented as “general information.” Other sources such as the radio (Fombad, Madeleine, & Jiyane, 2016) or newspapers (Omolewa, 2008) are not suitable sources of information for this project. However, the nature of the internet makes it the best source of estimating ones general knowledge (Stilwell, 2018) The observations from this sample were achieved via surveys. Thus, using the two categorical variables of “Conception of the economy” and “frequency of the use of the internet as a source of news.” According to the Chi – squared test, there is an association between these two variables Results: Univariate Analysis From the graph above, we come to find that 85% of Ghanaians have a negative conception of the economy whereas for positive conception it is only 15%. As depicted above, we come to find that within the rural setting there is a greater positive conception of the economy as compared to the urban setting. Results: Bivariate Analysis Key Findings From the univariate analysis key proportions are brought to light. From the sample, most Ghanaians have a negative conception of the economy. The Urban rural relationship simply sheds light to the relative differences –this graph is a bonus feature. However, we come to find that per or Bivariate Analysis there is an association between “Perception of the economy” and “Use of the internet as a source of Information” It must be said, the association is not extremely strong – although there is still an association Moreover, as the use of the internet increases, the more likely one perceives the Ghanaian economy in a positive manner As the use of the internet decreases, the more likely one perceives the Ghanaian economy in a negative manner Conclusion The overarching question from my research question being Is ignorance bliss appears to be less likely the case in Ghana –using the internet as a source of awareness. I have come to find out that from my sample, the lower one’s usage of the internet as a source of news, the more likely they are to rate the economy negatively. Thus, ignorance is not bliss, but awareness is rather. Why is this the case, contrary to other research works and the 1984 book? Two huge lurking variables are the availability of information and technology in low income households as well as and ones competency with the internet due to their education level (Ajakaiye, Olu, & Kimenyi, 2011). Hence, with a low income and inability to use the internet most likely due to a low education level, such a person is more likely to be living in undesirable conditions, thus, they have a negative conception of the economy. However, this claim arising from the lurking variables can be refuted with the simple logic that this paradox of “Poverty and happiness/bliss” has been proven (Graham, 2011) So why are the findings as such? Why is it so that the higher one’s usage of the internet as a source of news, the more likely they are to have a positive conception of the Ghanaian economy? This is so because the Ghanaian economy is relatively perfoming well. Though there is much poverty and low infrastructure capacity, there is still a significant amount of development. With a strong economic growth and increasing standards of living, the state o the Ghanaian economy is not as bad as many would claim – especially in relation to other low income countries. Hence, the higher one’s use of the internet, the more likely they are to know about the economy, especially in relation to other low income countries. They come to understand that all is not as bad as it seems, hence, tend to have a higher perception of the Ghanaian economy. Thus, the answer to the overarching question Is ignorance bliss? Yes – but only if things are going bad. In the case of Ghana’s economy, things are actually going well, hence, ignorance is not bliss in this case. So, fellow Ghanaians, put the pitchforks down, for no revolts are required here. The Ghanaian economy is doing well and those with access to the best source of information – the internet –are most likely to know this, hence are more likely to have a more positive conception of the economy. This research has introduced another aspect to the age old question of, Is ignorance bliss? By depicting that such is most likely to be the case if and only if the surroundings are in a tumultuous state. References Ajakaiye, Olu, and Mwangi S. Kimenyi. “Higher Education and Economic Development in Africa: Introduction and Overview.” Journal of African Economies 20, no. suppl_3 (August 1, 2011): iii3–13. https://doi.org/10.1093/jae/ejr027 . Asogwa, Brendan Eze, and Ifeanyi Jonas Ezema. “Freedom of Access to Government Information in Africa: Trends, Status and Challenges.” Records Management Journal 27, no. 3 (August 18, 2017): 318–38. https://doi.org/10.1108/RMJ-08-2015-0029 . Fombad, Madeleine C., and Glenrose Veli Jiyane. “The Role of Community Radios in Information Dissemination to Rural Women in South Africa.” Journal of Librarianship and Information Science, September 22, 2016, 0961000616668960. https://doi.org/10.1177/0961000616668960 . Graham, Carol. “Adaptation amidst Prosperity and Adversity: Insights from Happiness Studies from around the World.” The World Bank Research Observer 26, no. 1 (February 1, 2011): 105–37. https://doi.org/10.1093/wbro/lkq004 . OMOLEWA, MICHAEL. “ADULT LITERACY IN AFRICA: THE PUSH AND PULL FACTORS.” International Review of Education / Internationale Zeitschrift Für Erziehungswissenschaft / Revue Internationale de l’Education 54, no. 5/6 (2008): 697–711. Stilwell, Christine. “Information as Currency, Democracy, and Public Libraries.” Library Management 39, no. 5 (April 18, 2018): 295–306. https://doi.org/10.1108/LM-08-2017-0078 . Previous Next

< Back Implementing design thinking for efficiency in Ghana's public sector This research paper introduces a remedy for Ghana's weak public sector by exploring the implementation of Design Thinking into the sector's practices. The study employs a sequential mixed-method approach. Using Key Performance Indicators, the quantitative approach assessed the efficiency of Ghana's Public sector. Secondly, using the qualitative method of document analysis, insights on the use of design thinking in several public sectors were brought to light. Results revealed that it is best to employ design thinking in Ghana's public sector for the sake of improving the service delivery of public services. Due to the weakness of Ghana's public sector, core societal needs such as sanitation and health care access are inadequately met. As such, said areas are likely to be the best beneficiaries of the design approach in Ghana's public sector. Results also pointed out that if design thinking is to be implemented in Ghana's public sector, government projects should be rolled out by local governments as opposed to the federal level and that significant expertise would need to come via private sector collaborations. Undergrad Thesis .pdf Download PDF • 1.01MB Previous Next

< Back Alternative Data Regressor: V1 A Python Program to attain a linear regression of some alternative data against financial asset prices . A CSV file is the input. The output is the regression results. The provided Python program is designed to process time series data from a CSV file and execute a series of analytical steps based on a predefined decision tree. Key functionalities include: Reading a CSV File : The user inputs the path to a CSV file, which the program reads into a DataFrame. Stationarity Testing : It tests the time series data for stationarity using the Augmented Dickey-Fuller test. Adjusting for Non-Stationarity : If the data is non-stationary, it applies a log transformation to stabilize the time series. Re-testing for Stationarity : After transformation, it retests the data for stationarity. Significance Testing : Conducts an Ordinary Least Squares (OLS) regression to test the significance of the relationship between the time series and a dependent variable. Model Development and Evaluation : If a significant relationship is found, the program proceeds to develop a baseline regression model, which is then refined and evaluated based on its R-squared value. Output : The program outputs the results of the stationarity tests, significance tests, and the R-squared value of the regression model. import pandas as pd import numpy as np from statsmodels.tsa.stattools import adfuller from statsmodels.regression.linear_model import OLS import statsmodels.api as sm from scipy import stats import matplotlib.pyplot as plt from sklearn.model_selection import train_test_split from sklearn.metrics import r2_score def test_stationarity(timeseries): # Perform Dickey-Fuller test: dftest = adfuller(timeseries, autolag='AIC') return dftest[1] # p-value def adjust_non_stationarity(data): # Adjusting for non-stationarity (example: log transformation) return np.log(data) def significance_testing(X, y): # Perform significance testing (example: OLS regression) X = sm.add_constant(X) # adding a constant model = OLS(y, X).fit() return model.pvalues def main(): # Load data file_path = input("Enter the path to your CSV file: ") df = pd.read_csv(file_path) # Assuming the time series column is named 'timeseries' timeseries = df['timeseries'] # Step 1: Test for Stationarity if test_stationarity(timeseries) > 0.05: # Step 2: Adjust Data for Non-Stationarity timeseries = adjust_non_stationarity(timeseries) # Step 3: Re-test for Stationarity if test_stationarity(timeseries) > 0.05: print("Data is still non-stationary after transformation. Ending process.") return else: print("Data is stationary after transformation. Proceeding with analysis.") else: print("Data is stationary. Proceeding with analysis.") # Step 4: Significance Testing # Assuming another column 'dependent_var' as the dependent variable pvalues = significance_testing(df[['timeseries']], df['dependent_var']) if any(pval < 0.05 for pval in pvalues[1:]): # Ignoring the constant's p-value print("Significant correlation found. Proceeding to model development.") else: print("No significant correlation found. Ending process.") return # Steps 5, 6, 7: Develop, Refine, and Evaluate Regression Model # This is a simplified example using OLS regression X_train, X_test, y_train, y_test = train_test_split(df[['timeseries']], df['dependent_var'], test_size=0.2, random_state=0) model = OLS(y_train, sm.add_constant(X_train)).fit() predictions = model.predict(sm.add_constant(X_test)) print("Model R-squared:", r2_score(y_test, predictions)) # Step 8: Interpret the Regression Line # This step is more analytical and depends on the specific model and data # Step 9: Comparative Analysis if __name__ == "__main__": main() Previous Next

< Back Alternative Data Regressor Framework: Draft 1 A framework for linear regression of alternative data against financial asset prices What is Aternative Data? Alternative data is defined as non-traditional data that can provide an indication of future performance of a company outside of traditional sources, such as company filings, broker forecasts, and management guidance. This data can be used as part of the pre-trade investment analysis, as well as helping investors monitor the health of a company, industry, or economy. LSEG Examples of Alternative Data are: Social Media Sentiment, Web Traffic, Credit Card Transaction data, Satellite Imagery, Car Parking data, Mobile App usage and much more. What is an "Alternative Data Regressor"? Not a standard term but rather a phrase that I have essentially cooked up. My goal is to essentially use various tyes of alternative data (the regressor) to find a correlation with market values of financial assets (stocks and stock indices). Thus, the reason I have phrased it as the "Alternative Data Regressor." Conceptual Framework We need to develop a scientifc framework to test for correlation and possible causality. The objective is for the framework to be guide for a Python Algorithm that takes in datasets and tests for correlation Alternative Data Regressor Framework Collect Data : Gather weekly data on box office sales, interest rates (Prime and Federal Funds Rate), and a tech stock index. Clean and Organize Data : Prepare and organize the data for analysis Test for Stationarity : Apply stationarity tests Adjust Data for Non-Stationarity : If the data is not stationary, adjust it for seasonality, possibly using methods like the moving average or log transformations Re-test for Stationarity : After transforming the data, test for stationarity again. If the data is now stationary, proceed with the analysis. Significance Testing : Conduct appropriate statistical tests to check the significance of the relationships between the variables Develop Baseline Regression Model : Create a baseline regression model to analyze the relationship Refine the Model : Continuously adjust the model by experimenting with different forms of the control variables. Evaluate Models : Assess the various models and select the best one based on criteria like the R-squared or Adjusted R-squared value. Interpret the Regression Line : Use the chosen model to interpret the relationship between the Alternative data and financial market returns. Comparative Analysis : Compare the effects of using other variables (typically more traditional variables) on the predicting power. Example of Alternative Data Regressor Framework: Testing the Relation of Sci-Fi Movies Box Office Sales & the Prices of Tech Stocks in the US (Using R) Collect Data : Gather weekly data on box office sales, interest rates (Prime and Federal Funds Rate), and a tech stock index. Clean and Organize Data : Prepare and organize the data for analysis ==> remove incomplete enteries; remove outliers Test for Stationarity : Apply stationarity tests ==> Augmented Dickey-Fuller test Adjust Data for Non-Stationarity : If the data is not stationary, adjust it for seasonality, possibly using methods like the moving average or log transformations ==> Moving Average # Apply moving average to adjust for seasonality and create lagged variables (1-week lag) project_data_clean <- project_data %>% mutate( ma_TOP_10 = rollmean(TOP_10, window_size, align = "right", fill = NA), ma_tech_movie = rollmean(tech_movie, window_size, align = "right", fill = NA), ma_Tech_index = rollmean(Tech_Index, window_size, align = "right", fill = NA), ma_Market_index = rollmean(Market_index, window_size, align = "right", fill = NA), ma_TOP_10_lag = lag(ma_TOP_10, 1), ma_tech_movie_lag = lag(ma_tech_movie, 1) ) Re-test for Stationarity : After transforming the data, test for stationarity again. If the data is now stationary, proceed with the analysis. Significance Testing : Conduct appropriate statistical tests to check the significance of the relationships between the variables ==> Spearman Correlation Test # Spearman Correlation Test for Moving Average Adjusted and Lagged Tech Movie and Tech Index spearman_test_ma_tech_movies <- cor.test(project_data_clean$ma_tech_movie_lag, project_data_clean$ma_Tech_index, method = "spearman") spearman_test_ma_tech_movies # Spearman Correlation Test for Moving Average Adjusted and Lagged Total Top 10 Box Office and Market Index spearman_test_ma_top_10 <- cor.test(project_data_clean$ma_TOP_10_lag, project_data_clean$ma_Market_index, method = "spearman") spearman_test_ma_top_10 Develop Baseline Regression Model : Create a baseline regression model to analyze the relationship between box office sales (lagged by a week) and stock market performance, including the control variables (interest rates). Refine the Model : Continuously adjust the model by experimenting with different forms of the control variables. #1 : Classic model1 <- lm(ma_Market_index ~ ma_TOP_10_lag, data = project_data_clean) summary(model1) #2 : Including Economic Indicators (control variables) model2 <- lm(ma_Market_index ~ ma_TOP_10_lag + PRIME + FED, data = project_data_clean) summary(model2) #Model 2 is the most accurate! #3 : Including proxy for market premium model3 <- lm(ma_Market_index ~ ma_TOP_10_lag + PRIME + FED + `PRIME - FED`, data = project_data_clean) summary(model3) Evaluate Models : Assess the various models and select the best one based on criteria like the R-squared or Adjusted R-squared value ==> Adjusted R-squared Interpret the Regression Line : Use the chosen model to interpret the relationship between box office sales and stock market returns. a. Focus : Apply the model specifically to sci-fi movies to examine their impact on the tech stock index. Comparative Analysis : Compare the effects of using total box office sales versus sci-fi box office sales in predicting tech stock index changes. #Model 1: Target - Tech Movies Box Office Sales to Tech Stock Index model_target <- lm(ma_Tech_index ~ ma_tech_movie_lag + PRIME + FED, data = project_data_clean) summary(model_target) #Has the highest accuracy! Sci-fi movies are the best predictor for tech stock prices! #Model 2: Proxy - Top 10 Box Office to Tech Stock Index model_proxy <- lm(ma_Tech_index ~ ma_TOP_10_lag + PRIME + FED, data = project_data_clean) summary(model_proxy) #Model 3: Indirect - Tech Movies Box Office to Market model_indirect <- lm(ma_Market_index ~ ma_tech_movie_lag + PRIME + FED, data = project_data_clean) summary(model_indirect) Future Works: Develop a program with Python that takes in datasets as an input and the output is the possible correlations (based on the process outlined above) Previous Next

< Back Cocoa Production: Ghana and Ivory Coast - Historic Trend Work in progress Previous Next

< Back Plain Vanilla Bond Price Calculator A web application that takes the arguments of FV, Coupon Rate, YTM and Periods to price a Plain Vanilla Bond Github: https://github.com/akweix/vanilla_bond_price_calculator Previous Next

< Back Commentary: Washington’s Decision to “Normalize” Relations with Cuba..." An economic commentary on the article "Washington’s Decision to “Normalize” Relations with Cuba: Impede China’s Growing Influence in Latin America" Date the commentary was written: 21/ 09 /2016 Read the original article on Global Research : " Washington’s Decision to “Normalize” Relations with Cuba: Impede China’s Growing Influence in Latin America?" by Birsen Filip - 28.08.2016 The article under consideration is about the possible lifting of the Cuban embargo imposed by the American Government in 1936. The idea of removing this historic embargo has been introduced recently and is in the process of becoming a reality due to Barrack Obama. Barrack Obama, the present president of the United States according to the article, shocked the world by officially reestablishing diplomatic relations with Cuba and furthermore slowly lifting the historical embargo. However, this article explores the embargo lifting as a means of the USA to impede China’s International Market power growth in Latin America in light of the recent trade deal between China and Cuba. In this commentary, I shall be exploring the probable effects of lifting the embargo, with respect to the International Market and the Cuban economy. According to the article, it can be deduced that the USA is trying to prevent China from becoming a “monopoly” in the International Market. An embargo is a government order that restricts commerce or exchange with a specified country or the exchange of specific goods. An embargo is usually created as a result of unfavorable political or economic circumstances between nations. The restriction looks to isolate the country and create difficulties for its governing body, forcing it to act on the underlying issue. [1] In the case of the US embargo on Cuba, it is due to the relation Cuba was having with Communist powers. The Cuban embargo majorly affected the tourism in Cuba, sugar production, many other agricultural sectors and cigar firms. Figure 1: Current agricultural production in the Cuban economy As illustrated on the graph above, as the embargo technically prohibits Cuba from trading internationally (as the USA “penalizes” other countries that trade with Cuba) their agricultural goods although having an advantage of the lower price in comparison to the world price, Cuba cannot exploit that advantage. However, if the embargo is to be lifted Cuba would benefit greatly as they can produce many agricultural goods at a lower price than most countries and furthermore specialize in agricultural goods to even greatly increase their production. This would lead to an increase in jobs, increase in GDP and incomes in Cuba. Due to the embargo many goods and services have to be produced domestically as Cuba cannot benefit from international trade. Due to the production of a vast array of goods and services domestically Cuba cannot efficiently produce all goods and services, and the quality is quite low. For instance, it is not efficient for Cuba to produce heavy duty farming machines, whereas China having a comparative advantage in heavy duty machines can effectively produce them. A country has a comparative advantage in producing a product when it has the lowest opportunity cost for producing the product. Figure 2: Electronics and technological devices Market in Cuba currently As illustrated in the diagram above, currently Cuba’s technological industry and many other industries are producing at a higher price than the World Price. This mainly due to lack of specialization. The people of Cuba are subjected to some high priced goods and services which are very low in quality. However, if the embargo is to be lifted Cubans would have access to the lower priced, higher quality goods and services from the international market. Due to the large diversification in goods and services produced domestically, the Cuban economy has not specialized in particular products, hence does not hold any significant comparative advantage in any good or service production when compared to most countries. As Cuba would be able to trade much easier in the international market, hence would have access to cheaper raw resources from Africa and Americas, cheaper labor from Asia and greater capital from Europe and North America. Figure 3: Effect of lifting the Embargo in the Cuban Economy As shown on the diagram above, the lifting of the embargo would be highly beneficial for the Cuban economy. Aggregate demand and supply would increase. The total output of the economy increases from Y1 to Y2. The average price level of goods and services increases, but this increase is actually quite beneficial for Cuba as incomes would increase and producers make larger profits. The lack of specialization due to the embargo hinders the growth of the Cuban economy. However with the lifting of the embargo, this would increase economic activity and boost economic growth in Cuba. [1] http://www.investopedia.com/ Previous Next

< Back Commentary: Brexit could lead to recession, says Bank of England An economic commentary on the article "Brexit could lead to recession, says Bank of England" Date the commentary was written: 24/ 05 /2016 Read the original article on the guardian: Brexit could lead to recession, says Bank of England by Katie Allen - 12/05/2016 The article under consideration is about multiple predicted implications that would occur if Britain decides to the leave the EU (Brexit) according to the Bank of England. The main macroeconomic aspects of this article which would be featured in this commentary are the claims of recession, inflation, unemployment and economic growth. The idea of Britain leaving the EU (European Union) has brought about the question of its economic justification. Economically, there is a lot of ambiguity, however this article claims that a Brexit would not be economically justified for Britain. The greatest argument made in this article is that of recession. Recession is the significant decline of economic activity in an economy lasting longer than two successive quarters. The recession in turn would be caused by a combination of inflation and unemployment. Inflation simply refers to the persistent increase in the average price level of goods and services in an economy over a period of time (12 months). Unemployment refers to people of working age, able, willingly and actively looking for a job but do not have one. According to the Bank of England in this article, all of this would occur if Britain leaves the EU. Hence all of the macroeconomic objectives of England would not be met (including a current account surplus, as it would be more expensive for Britain to trade with EU counties and the US). Also, since there is an increase in unemployment and inflation, stagflation would also be occurring. Unemployment is said to increase. This is mainly due to an increase in the cost of production of firms. Without the EU, many sectors in the British economy would not have subsidies and would have to pay more taxes. The price of most raw materials would increase, transportation cost would also increase and trade between the EU and Britain would be highly disadvantageous to Britain as the EU would impose high tariffs. The labor market diagram below shows the effects. Figure 1 As illustrated on the diagram. Due to the higher cost of productions, firms in Britain would be forced to ‘let go’ their labor force. Hence there is a decrease in the aggregate demand for labor. This causes natural unemployment. The aggregate demand of labor shifts to the left, due to the decrease in demand for labor. British goods would become expensive and would lose international competitiveness. Hence, sales would be lower, the pound would lose its value and Britain would gradually have a large deficit on their balance of payments. GDP would decrease, hence economic activity also decreases and furthermore a decrease in economic growth. Inflation is also claimed to increase above the target rate of 2%. This inflation would most probably be a cost push inflation. This type of inflation refers to the increase in cost of production in many firms, hence the average price level of goods and services generally increases. The effect is illustrated on the diagram below; Figure 2 As shown on the diagram, an increase in cost of production causes the short run aggregate supply curve to shift to the left, further on increasing the inflation and decreasing the real GDP. This creates excesses demand and simply increases the value of inflation. So it may appear that the Brexit is a recipe for a recession. So is this fate inevitable? No, there is a simple solution for Britain to have a strong economy without these problems if they are to leave the EU. The British Government can start large scale infrastructure developments in Britain, in order to prevent the unemployment caused by the Brexit. The British government may also have to impose high tariffs on goods and services offered by the EU only, hence not only does this generate money for Britain but it also allows domestic firms to thrive which would increase employment, GDP, economic growth and would strengthen the pound. The psychological effect of Brexit may also aid in higher productivity of workers and higher consumption of locally made goods and services instead of imported commodities. The balance of payments would also improve to a more favorable figure (surplus or surplus leaning). The Bank of England can also increase key interest rates, to “increase” the value of the pound. Inflation can also be less severe if the Bank of England increases the interest rates and subsidizes important goods and services in the country. An increase in the interest rates would increase the general public’s marginal propensity to save, hence aggregate demand would decrease and relative to the very slow cost push inflation, the inflation would be barely “felt” by the economy. The British government must also loosen its controls in the banking industry as this would then allow Banks in EU to easily invest or even relocate to Britain because of lower constrains from a governing body. Previous Next