Universidad de La Salle, Bogotá
University of South Florida
University of Arkansas, Fayetteville
Dartmouth College
Singapore Management University
University of Tennessee, Knoxville
Old Dominion University
Using Hybrid Machine Learning Models For Stock Price Forecasting And Trading.,
2024
American University in Cairo
Using Hybrid Machine Learning Models For Stock Price Forecasting And Trading., Ahmed Khalil
Theses and Dissertations
Trading stocks of publicly traded companies in stock markets is a challenging topic since investors are researching what tools can be used to maximize their profits while minimizing risks, which encouraged all researchers to research and test different methods to reach such a goal. As a result, the use of both fundamental analysis and technical analysis started to evolve to support traders in buying and selling stocks. Recently, the focus increased on using Machine learning models to predict stock prices and algorithmic trading as currently there is a huge amount of data that can be processed and used to forecast …
An Evaluation Of Environmental, Social, And Governance Standards On Fund Performance: Comparison Of Esg Funds In The United States And The European Union,
2024
Olivet Nazarene University
An Evaluation Of Environmental, Social, And Governance Standards On Fund Performance: Comparison Of Esg Funds In The United States And The European Union, Gracie V. Del Real
Honors Program Projects
The growing importance of environmental, social and governance (ESG) policies in global industries has attracted special attention from investors seeking to evaluate companies beyond traditional financial metrics. Given the evolving social climate, investors are seeking ways to utilize their money not only for financial success but for societal change. ESG offers the opportunity to retain money in the market while being responsible concerning the environmental and societal impact companies are having on the communities in which they operate. Being a responsible investor can go beyond making strong returns. This study aims to determine if there is a statistically significant difference …
The Alchemy Of Diversification: A Deep Dive Into The Stock-Bond Correlation,
2024
Ursinus College
The Alchemy Of Diversification: A Deep Dive Into The Stock-Bond Correlation, Evan Coffey
Business and Economics Honors Papers
This research delves into the intricate dynamics of the stock-bond correlation, seeking to reveal the underlying factors that drive its fluctuations. Through a comprehensive analysis of empirical data, it investigates the diverse array of influences that contribute to the variability in the relationship between stock and bond returns. Factors such as inflation, unemployment, market volatility, FED policy, and market growth are scrutinized for their impact on altering the correlation pattern. Additionally, the research explores the implications of the stock-bond correlation on portfolio diversification. By explaining the multifaceted nature of the correlation, this study provides valuable insights for investors, policymakers, and …
Siphoned Apart: A Portfolio Perspective On Order Flow Segmentation,
2024
Singapore Management University
Siphoned Apart: A Portfolio Perspective On Order Flow Segmentation, Markus Baldauf, Joshua Mollner, Bart Zhou Yueshen
Research Collection Lee Kong Chian School Of Business
We study liquidity supply in fragmented markets. Market makers intermediate heterogeneous order flows, trading off spread revenue against inventory costs. Applying our model to payment for order flow (PFOF), we demonstrate that portfolio-based considerations of inventory management incentivize market makers to segment retail orders by siphoning them off-exchange. Banning order flow segmentation reduces total welfare, can make trading more costly for all investors, and can resolve a prisoner's dilemma among market makers. These results differentiate our inventory-based model from the existing information-based theories of PFOF.
Investing In Climate: A Role For 'Sovereign Climate Funds',
2024
Singapore Management University
Investing In Climate: A Role For 'Sovereign Climate Funds', Marianna Kozintseva, Thierry Wizman
Sim Kee Boon Institute for Financial Economics
Efforts to address climate change have generally been focused on deploying mitigation technologies. However, it is adaptation technologies (and climate risk transfer) that will have to gain an increasing share of an investment pool dedicated to climate if human systems are to stay resilient to climate forces. Just like mitigation projects, adaptation projects have a strong public goods aspect, wherein public returns exceed private returns, and thus call for the state’s involvement. We argue that sovereign climate funds (SCFs) - new types of sovereign wealth funds with a climate investment mandate - can be critical purpose-built conduits especially for undertaking …
Diverse Hedge Funds,
2024
University of Central Florida
Diverse Hedge Funds, Yan Lu, Narayan Y. Naik, Melvyn Teo
Research Collection Lee Kong Chian School Of Business
Hedge fund teams with heterogeneous educational backgrounds, academic specializations, work experiences, genders, and races, outperform homogeneous teams after adjusting for risk and fund characteristics. An event study of manager team transitions, instrumental variable regressions, and an analysis of managers who simultaneously operate solo- and team-managed funds address endogeneity concerns. Diverse teams deliver superior returns by arbitraging more stock anomalies, avoiding behavioral biases, and minimizing downside risks. Moreover, diversity allows hedge funds to circumvent capacity constraints and generate persistent performance. Our results suggest that diversity adds value in asset management. Authors have furnished an Internet Appendix, which is available on the …
Multi-Perspective Analysis For Derivative Financial Product Prediction With Stacked Recurrent Neural Networks, Natural Language Processing And Large Language Model,
2024
The Graduate Center, City University of New York
Multi-Perspective Analysis For Derivative Financial Product Prediction With Stacked Recurrent Neural Networks, Natural Language Processing And Large Language Model, Ethan Lo
Dissertations, Theses, and Capstone Projects
This study developed a multi-perspective, AI-powered model for predicting E-Mini S&P 500 Index Futures prices, tackling the challenging market dynamics of these derivative financial instruments. Leveraging FinBERT for analysis of Wall Street Journal data alongside technical indicators, trader positioning, and economic factors, my stacked recurrent neural network built with LSTMs and GRUs achieves significantly improved accuracy compared to single sub-models. Furthermore, ChatGPT generation of human-readable analysis reports demonstrates the feasibility of using large language models in financial analysis. This research pioneers the use of stacked RNNs and LLMs for multi-perspective financial analysis, offering a novel blueprint for automated prediction and …
What Difference Do The New Factor Models Make In Portfolio Allocation?,
2024
EDHEC
What Difference Do The New Factor Models Make In Portfolio Allocation?, Frank J. Fabozzi, Dashan Huang, Fuwei Jiang, Jiexun Wang
Research Collection Lee Kong Chian School Of Business
This paper compares the Hou-Xue-Zhang four-factor model with the Fama-French five-factor model from an investing perspective both in- and out-of-sample. Without margin requirements and model uncertainty, the Hou-Xue-Zhang model outperforms the Fama-French model. However, the outperformance could become negligible if an investor is subject to margin requirements and model uncertainty. The Hou-Xue-Zhang model shows similar power as the Fama-French model in describing the covariance matrix of asset returns. Overall, the two models do not make a difference for investing in a realistic setting.
"Reconstitute": Business Plan Of A Start-Up Art Invsetment Bussiness: Artvest,
2024
Sotheby's Institute of Art
"Reconstitute": Business Plan Of A Start-Up Art Invsetment Bussiness: Artvest, Jianing Wang
MA Projects
Art is still used as a financial hedge in times of economic uncertainty. According to Artnet’s Financial Art Index, “The art market outperformed the S&P 500 from January 2022 to July 2023, with art returns rising by 4.2% in nominal terms, while the S&P 500 lost 6.6% during the same period.” 1 Although we are currently in a period of uncertainty about the future global economic outlook, the impact of fluctuations in art prices is relatively low. ArtVest will establish against post-pandemic New York in 2024, seamlessly bridging the realms of art and investment. ArtVest recognizes the potential in the …
Bio-Bust: Investigating Biotech Stock Factors Contributing To Abnormal Returns In The Wake Of Silicon Valley Bank's Failure,
2024
Claremont Colleges
Bio-Bust: Investigating Biotech Stock Factors Contributing To Abnormal Returns In The Wake Of Silicon Valley Bank's Failure, Spencer Kent
CMC Senior Theses
Following the unprecedented collapse of Silicon Valley Bank (SVB) in March 2023, this study explores abnormal stock price reactions within the biotechnology sector. As the chosen financial institution for countless Silicon Valley-type technology and healthcare firms, SVB's failure had a profound impact on small to mid-sized biotech companies. Analyzing a dataset of 180 biotech firms during a two-day event window over SVB’s collapse, I investigate whether exposure to SVB, or other factors, was the primary contributor to negative abnormal stock price reactions, considering variables such as the percentage of cash held at SVB, whether a firm maintained an active SVB …
Capturing Value In Emerging Markets: A Real Options Perspective On Resilience And Risk,
2024
Claremont Colleges
Capturing Value In Emerging Markets: A Real Options Perspective On Resilience And Risk, Alexander Castillo
CMC Senior Theses
This paper examines the evaluation of investment opportunities in emerging markets (EMs) through real options analysis, against the backdrop of their unique risk profiles and the recent trend of EMs exhibiting resilience in economic performance. While EMs are associated with high growth rates and infrastructure gaps, they have shown adaptability, particularly in monetary policy responses to inflation. This paper explores the sensitivity of net present value (NPV) and real options (RO) to changes in the capital asset pricing model, adapting the yield spread to capture default risk and local risk-free rates. Utilizing oil benchmark price data, the paper constructs a …
Market Reaction Test On Banks & Brokers Based On Bitcoin Price History. A Look At National Commercial Banks And Security Broker, Exchanges, And Service Stocks Following The Most Volatile Swings In Bitcoin’S Price.,
2024
Claremont Colleges
Market Reaction Test On Banks & Brokers Based On Bitcoin Price History. A Look At National Commercial Banks And Security Broker, Exchanges, And Service Stocks Following The Most Volatile Swings In Bitcoin’S Price., Payton Earl
CMC Senior Theses
This paper examines if there is an inverse correlation between Bitcoin’s most volatile price swings and national commercial banks and security brokers, exchanges and service companies performance. Company performance in the dataset is measured by Cumulative Abnormal Returns during 2021 within a two-day period where Bitcoin has had the most significant uptick and downtick events. Using a market-adjusted model for my regression, it is concluded that Bitcoin’s largest uptick event did indeed have an inversely negative effect on traditional banks and trading securities companies, as the Cumulative Abnormal Returns were negative for my 107 observations and the event was statistically …
Equity Fund Monthly Report, January 2024,
2024
Bryant University
Equity Fund Monthly Report, January 2024, Bryant University, Archway Investment Fund
Archway Investment Fund
No abstract provided.
The Economic Value Of Blockchain Applications: Early Evidence From Asset-Backed Securities,
2024
Singapore Management University
The Economic Value Of Blockchain Applications: Early Evidence From Asset-Backed Securities, Xia Chen, Qiang Cheng, Ting Luo
Research Collection School Of Accountancy
In this paper, we evaluate the economic value of a blockchain application. In the context of asset-backed securities (ABS) issuance in China, where some ABS are issued with blockchain technology and others are not, we find that the use of blockchain significantly reduces the coupon yield at issuance. Compared with other ABS, those issued using blockchain technology experience a decrease of 31.4 basis points in the yield spread, which corresponds to a relative decrease of 13%. We further document that the effect of blockchain is more pronounced for ABS deals rated by less reputable credit rating agencies and agencies that …
Derivatives And Market (Il)Liquidity,
2024
University of Hong Kong
Derivatives And Market (Il)Liquidity, Shiyang Huang, Bart Zhou Yueshen, Cheng Zhang
Research Collection Lee Kong Chian School Of Business
We study how derivatives (with nonlinear payoffs) affect the underlying assets liquidity. In a rational expectations equilibrium, informed investors expect low conditional volatility and sell derivatives to the others. These derivative trades affect different investors utility differently, possibly amplifying liquidity risk. As investors delta hedge their derivative positions, price impact in the underlying drops, suggesting improved liquidity, because informed trading is diluted. In contrast, effects on price reversal are ambiguous, depending on investors relative delta hedging sensitivity, i.e., the gamma of the derivatives. The model cautions of potential disconnections between illiquidity measures and liquidity risk premium due to derivatives trading.
Endogenous Market Choice, Listing Regulations, And Ipo Spread: Evidence From The London Stock Exchange,
2024
Swansea University
Endogenous Market Choice, Listing Regulations, And Ipo Spread: Evidence From The London Stock Exchange, Hafiz Hoque, John Doukas
Finance Faculty Publications
This study examines the endogenous market choice and its impact on underwriter spread if Alternative Investment Market (AIM) IPOs that meet Main Market (MM) listing requirements had issued equity in the MM during the 1995–2021 period. We find that the spread is 1.33% higher in the AIM than the MM for IPO listings that meet the MM listing requirements. This finding suggests that AIM companies, meeting the MM listing requirements, could have saved more than £100 million by going public through the MM than the AIM market. We also find that this spread differential is attributed to the issuing firms' …
Evaluating The Performance Of Real Estate Exchange-Traded Funds,
2023
Thomas Jefferson University
Evaluating The Performance Of Real Estate Exchange-Traded Funds, Davinder K. Malhotra
School of Business Faculty Papers
This study examines the net monthly returns of real estate exchange-traded funds (ETFs) through various performance evaluation models and market situations. The results reveal that these ETFs generated positive alphas and outperformed benchmark indices in absolute returns. However, their performance varied across market conditions, demonstrating both outperformance and underperformance compared to U.S. and global stocks. During the COVID-19 pandemic, real estate ETFs displayed a decline, trailing behind U.S. and global equities in both absolute returns and risk-adjusted performance. This emphasized their vulnerability during economic crises. Utilizing the Carhart four-factor model, significant exposure of real estate ETFs to the stock market …
Equity Fund Monthly Report, December 2023,
2023
Bryant University
Equity Fund Monthly Report, December 2023, Bryant University, Archway Investment Fund
Archway Investment Fund
No abstract provided.
The Archway Investment Fund, Annual Report 2023,
2023
Bryant University
The Archway Investment Fund, Annual Report 2023, Bryant University, Archway Investment Fund
Archway Investment Fund
No abstract provided.
Are Bond Returns Predictable With Real-Time Macro Data?,
2023
Singapore Management University
Are Bond Returns Predictable With Real-Time Macro Data?, Dashan Huang, Fuwei Jiang, Kunpeng Li, Guoshi Tong, Guofu Zhou
Research Collection Lee Kong Chian School Of Business
We investigate the predictability of bond returns using real-time macro variables and consider the possibility of a nonlinear predictive relationship and the presence of weak factors. To address these issues, we propose a scaled sufficient forecasting (sSUFF) method and analyze its asymptotic properties. Using both the existing and the new method, we find empirically that real-time macro variables have significant forecasting power both in-sample and out-of-sample. Moreover, they generate sizable economic values, and their predictability is not spanned by the yield curve. We also observe that the forecasted bond returns are countercyclical, and the magnitude of predictability is stronger during …
