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Articles 31 - 49 of 49
Full-Text Articles in Portfolio and Security Analysis
Investing In Climate: A Role For 'Sovereign Climate Funds', Marianna Kozintseva, Thierry Wizman
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 …
Equity Fund Monthly Report, March 2024, Archway Investment Fund
Equity Fund Monthly Report, March 2024, Archway Investment Fund
Archway Investment Fund
No abstract provided.
Analysts' Earnings Per Share Forecasts: The Effects Of Forecast Uncertainty And Forecast Precision On Investor Judgements, Clarence Goh
Analysts' Earnings Per Share Forecasts: The Effects Of Forecast Uncertainty And Forecast Precision On Investor Judgements, Clarence Goh
Research Collection School Of Accountancy
This study uses controlled experiments to investigate the joint effects of forecast uncertainty and forecast precision on investor judgements. It finds that forecast precision moderates the effects of forecast uncertainty on investors' forecast reliability judgements such that the effects of forecast uncertainty on investors' judgements of forecast reliability are more negative when an analyst's point earnings per share (EPS) forecast is rounded than when it is precise. In addition, the relationship between forecast precision and investors' judgements of forecast reliability is mediated by investors' perceptions of forecast attributes. The evidence also suggests that while forecast uncertainty exerts a negative effect …
Fixed Income Fund Report, February 2024, Archway Investment Fund
Fixed Income Fund Report, February 2024, Archway Investment Fund
Archway Investment Fund
No abstract provided.
Equity Fund Monthly Report, February 2024, Archway Investment Fund
Equity Fund Monthly Report, February 2024, Archway Investment Fund
Archway Investment Fund
No abstract provided.
Do Underwriters Short-Change Corporations Issuing Bonds?, Jeremy C. Goh, Lisa (Zongfei) Yang
Do Underwriters Short-Change Corporations Issuing Bonds?, Jeremy C. Goh, Lisa (Zongfei) Yang
Research Collection Lee Kong Chian School Of Business
We confirm prior evidence that bonds on average are offered at prices below their immediate post-offer secondary market prices. However, in cases where banks lead–manage their own bond offerings the underpricing is significantly less as compared with other non-self-marketed offerings. These findings are robust across various matched samples and selection models. Our results suggest that the bond offering process is characterized by substantive agency conflicts between shareholders of corporations (issuers) and underwriters.
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 …
Diverse Hedge Funds, Yan Lu, Narayan Y. Naik, Melvyn Teo
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 …
What Difference Do The New Factor Models Make In Portfolio Allocation?, Frank J. Fabozzi, Dashan Huang, Fuwei Jiang, Jiexun Wang
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.
Equity Fund Monthly Report, January 2024, Archway Investment Fund
Equity Fund Monthly Report, January 2024, Archway Investment Fund
Archway Investment Fund
No abstract provided.
Fixed Income Fund Report, January 2024, Archway Investment Fund
Fixed Income Fund Report, January 2024, Archway Investment Fund
Archway Investment Fund
No abstract provided.
"Reconstitute": Business Plan Of A Start-Up Art Invsetment Bussiness: Artvest, Jianing Wang
"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 …
A Stock Optimization Problem In Finance: Understanding Financial And Economic Indicators Through Analytical Predictive Modeling, Aditya Chakraborty, Chris Tsokos
A Stock Optimization Problem In Finance: Understanding Financial And Economic Indicators Through Analytical Predictive Modeling, Aditya Chakraborty, Chris Tsokos
Epidemiology, Biostatistics, & Environmental Health Faculty Publications
Given the significant impact of healthcare stock changes on the global economy, including its GDP and other financial factors, we endeavored to create an analytical prediction model for forecasting the annual percentage change of these stocks. Our model, which is nonlinear, incorporates five key discoveries. We focused on predicting the average weekly closing price (pWCP) of AbbVie Inc. (North Chicago, IL, USA)'s healthcare stock (ABBV) from 1 August 2017 to 31 December 2019. The stock was chosen based on the low beta risk, high dividend yield, and high yearly percentage return criteria. Alongside predicting the weekly stock price, our model …
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 …
Bio-Bust: Investigating Biotech Stock Factors Contributing To Abnormal Returns In The Wake Of Silicon Valley Bank's Failure, Spencer Kent
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, Alexander Castillo
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 …
Endogenous Market Choice, Listing Regulations, And Ipo Spread: Evidence From The London Stock Exchange, Hafiz Hoque, John Doukas
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' …
Derivatives And Market (Il)Liquidity, Shiyang Huang, Bart Zhou Yueshen, Cheng Zhang
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.
The Economic Value Of Blockchain Applications: Early Evidence From Asset-Backed Securities, Xia Chen, Qiang Cheng, Ting Luo
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 …