Portfolio and Security Analysis Commons^™

The Analysis Of The Roles Of Bitcoin, Ethereum, And Gold As Hedge And Safe-Haven Assets On The Indonesian Stock Market Before And During The Covid-19 Pandemic, Carla A. Wijaya, Maria Ulpah

The Indonesian Capital Market Review

The uncertainty due to the COVID-19 outbreak has encouraged investors to look for value hedging instruments to minimize risk, which can be in the form of hedging assets or safe-haven assets. In response to it, this study aims to find out whether Bitcoin, Ethereum, and gold can behave as hedging and safe-haven assets before and amid the pandemic in Indonesia. The strategy is by observing the effects of volatility and return of Bitcoin, Ethereum, and gold on the Indonesian stock market. This study employed both quantile regression and simple linear regression models on data of daily closing price taken before …

Monetary Policy And Herding Behavior: Empirical Evidence From Indonesia Stock Market, Retno Puspita K. Wicaksono, Telisa Aulia Falianty

The Indonesian Capital Market Review

This study aims to analyze the role of monetary policy, including the spillover of the US Federal Reserve (Fed) monetary policy, in the existence of herding behavior in the Indonesian stock market. We used beta herding to measure the level of herding behavior and analyze the relationship between monetary policy and beta herding using the VECM model, as well as IRF and FEVD. This study shows that monetary policy plays a role in the existence of herding behavior in the Indonesian stock market. Although the effect of monetary policy on herding behavior is relatively small, Fed monetary policy shocks have …

Equity Fund Monthly Report, January 2022, Bryant University, Archway Investment Fund

Archway Investment Fund

No abstract provided.

Concept Links And Return Momentum, Qianqian Du, Dawei Liang, Zilin Chen, Jun Tu

Research Collection Lee Kong Chian School Of Business

Unlike traditional asset categories (e.g., industry classifications) that are generally defined clearly, some groups of stocks are tied to certain loosely defined “concepts” (e.g., e-commerce). When investors find it difficult to analyze ambiguous concept-oriented information, information diffuses slowly, creating “concept momentum”. Based on unique concept data in the Chinese stock market, this study constructs a concept-momentum strategy that involves buying stocks from past winning concepts and selling stocks from past losing concepts, which can generate pronounced abnormal returns. Neither risk factors, firm-level momentum, nor industry-level momentum can explain concept momentum. Furthermore, we find that both the underreaction and cross-stock lead-lag …

Gold Vs. Psx Sectors During Political Uncertainties: An Event Study Analysis, Hafsa Rasheed, Habib Ahmad, Attiya Yasmin Javid

Business Review

Amplified uncertainties in economic, financial, and political environments across nations have created a dire need to search for safe investment options that could mitigate the losses faced by investors due to such uncertainties. So researchers and investment managers have started investigating alternative investment options like real assets, to cope with such risks. Pakistani investors require such investigations more critically because Pakistan is among one of the most politically unstable economies. Previous researches have widely reported gold to be a hedge and safe haven during various economic downturns, therefore, the current study investigates whether gold could also diversify the risk of …

The Archway Investment Fund, Annual Report 2022, Bryant University, Archway Investment Fund

Archway Investment Fund

No abstract provided.

Fixed Income Fund Report, January 2022, Bryant University, Archway Investment Fund

Archway Investment Fund

No abstract provided.

Modeling The Impact Of Adding Cryptocurrency In A Portfolio, Ashley Pineault

Honors Theses and Capstones

This study examines the backgrounds of Bitcoin and Ethereum. How they came about, where they differ from one another in functions, and what investors believe will be a better cryptocurrency stock as an investment to include in an optimized portfolio. It will also study the impact of adding two leading cryptocurrencies, Bitcoin and Ethereum, into a hypothetical, optimal investment portfolio. Data collection includes the adjusted closing price of 30 diversified stocks from 2016 to 2021. Those adjusted closing prices are the beginning of determining the optimal portfolio for three separate portfolios. One has the Ethereum cryptocurrencies, the other has Bitcoin …

Do Managers Learn From Analyst Participation In Conference Calls?, Amanda Aw Zhi Xin Yong, Young Jun Cho, Holly I. Yang

Research Collection School Of Accountancy

While research finds that conference calls are informative to the market and analysts, they can also be informative to managers as analysts’ questions can provide a feedback effect. Using a sample of conference call transcripts from 2002 to 2018, we find that greater analyst participation, as measured by the number of words spoken by analysts relative to the number of words spoken by managers during conference calls, is associated with higher accuracy in managers’ subsequent earnings forecasts. Cross-sectional tests show that this positive association is more pronounced when managers use more uncertain words in conference calls, when analysts use a …

Misvaluing Effective Investors In Intangible Capital, Dustin Lind

CMC Senior Theses

Cohen et al. (2013) measure a firm’s ability at investing in knowledge capital, a type of intangible capital, through a model that captures how well a firm translates R&D intensity into future sales growth. Using this model, they show that an investment portfolio comprised of firms that have high R&D spending ability and high R&D intensity earn significant positive abnormal returns. I modify their model to capture a broader investment in intangible capital by replacing R&D intensity with SG&A intensity and substituting sales growth with gross profit growth. My measure of ability at investing in intangible capital has two main …

Securing The Overnight Rates: A Study Of Alternative Reference Rates In Illiquid Overnight Tri-Party Repo Markets, Michael Murphy

CMC Senior Theses

Since 2011, the London Interbank Offer Rate (LIBOR) has been on the way out for practitioners and researchers alike due to its manipulation in key bank quotes during the Great Financial Crisis (GFC). This paper intends to examine key rates being introduced as LIBOR substitutes, such as SOFR, BSBY, and Ameribor. Specific to its concern, the paper will back test these rates during times of illiquidity in both their respective markets and the broader financial markets to determine which rates will be able to sustain an abnormal drop in transaction volumes. Furthermore, this paper will try to determine whether a …

The Cryptic Nature Of Crypto Digital Assets Regulations: The Ripple Lawsuit And Why The Industry Needs Regulatory Clarity, Jacqueline Hennelly

Fordham Journal of Corporate & Financial Law

The tension and associated time lag between technology and regulation has been well documented. Paradigmatic of this phenomenon is the global evolution of blockchain technology and digital assets. Digital assets in the blockchain allow users to transact directly without financial intermediaries. However, the regulatory guidelines for the assets, their issuance, and the subsequent transactions are unclear. The Securities and Exchange Commission (SEC) has filed an action to apply its existing regulations and the judicial interpretations to Ripple’s issuance of XRP, its token, and Ripple’s control over subsequent user transactions of XRP. This Note uses SEC v. Ripple as a case …

Goodbye Buybacks? Why Recent Stock Buyback Reform Proposals Go Beyond What Is Necessary, Joshua Zelen

Fordham Journal of Corporate & Financial Law

This note provides an overview of the intensifying debate around the impact that stock buybacks have on economic inequality and the proposals designed to reform the practice. With the advent of the Securities and Exchange Commission’s (SEC) 1982 promulgation of Rule 10b-18, corporations began allocating vast portions of their profits to stock buybacks. In recent years, this practice has become increasingly more common and has surpassed previous historical benchmarks.

Critics of stock buybacks primarily view the practice as a misuse of excess corporate funds that could instead be allocated to improve employee working conditions, benefits, and future outcomes. Opponent’s concerns …

Co-Jumps, Co-Jump Tests, And Volatility Forecasting: Monte Carlo And Empirical Evidence, Weijia Peng, Chun Yao

WCBT Faculty Publications

This study classifies jumps into idiosyncratic jumps and co-jumps to quantitatively identify systematic risk and idiosyncratic risk by utilizing high-frequency data. We found that systematic risk occurs more frequently and has larger magnitudes than the idiosyncratic risk in an individual asset, which indicates that volatilities from one sector are largely derived from the contagious effect of other sectors. We further investigated the importance of idiosyncratic jumps and co-jumps to predict the sector-level S&P500 exchange-traded fund (ETF) volatility. It was found that the predictive content of co-jumps is higher than that of idiosyncratic jumps, suggesting that systematic risk is more informative …

Conditional Relationship Between Distress Risk And Stock Returns, Su Hee Yun, Jung Min Kim

Research Collection Lee Kong Chian School Of Business

Purpose: Previous research on the relationship between a firm’s distress risk and future stock returns produces inconsistent results. This study attempts to explain the conflicting results of earlier studies by showing that systematic distress risk leads to positive rewards, while unsystematic distress risk leads to low stock returns. In addition, this study intends to elucidate the factors of systematic distress risk and unsystematic distress risk, respectively. In this way, this study informs the rational investor what kind of distress risk they should take. Design/methodology/approach: This study considers two distress-predictor sets to show a possibility between distress risk and stock returns …

Forecasting Equity Index Volatility By Measuring The Linkage Among Component Stocks, Yue Qiu, Tian Xie, Jun Yu, Qiankun Zhou

Research Collection School Of Economics

The linkage among the realized volatilities of component stocks is important when modeling and forecasting the relevant index volatility. In this article, the linkage is measured via an extended Common Correlated Effects (CCEs) approach under a panel heterogeneous autoregression model where unobserved common factors in errors are assumed. Consistency of the CCE estimator is obtained. The common factors are extracted using the principal component analysis. Empirical studies show that realized volatility models exploiting the linkage effects lead to significantly better out-of-sample forecast performance, for example, an up to 32% increase in the pseudo R2. We also conduct various forecasting exercises …

Fixed Income Fund Report, December 2021, Bryant University, Archway Investment Fund

Archway Investment Fund

No abstract provided.

Equity Fund Monthly Report, December 2021, Bryant University, Archway Investment Fund

Archway Investment Fund

No abstract provided.

Forecasting Stock Market Prices: A Machine Learning Approach, Abraham Alhomadi

All Graduate Plan B and other Reports, Spring 1920 to Spring 2023

There has been extensive literature written about the efficiency of the stock market. Practitioners and academicians have debated whether investors can exploit publicly available information to generate excess returns. Clearly predicting the stock market’s return with high accuracy has been enormously difficult, but we are interested in contributing to the continuous exploration of the efficiency of the stock market using machine learning techniques. We also want to examine the relationship between our dataset’s macroeconomic indicators and foreign nations’ stock markets with our target feature—the S&P 500. In this paper, we will be using supervised machine learning models, like Linear Regression, …

Kalman Filter Vs Alternative Modeling Techniques And Applied Investment Strategies, Heather E. Dempsey

Doctoral Dissertations (DBA)

This thesis examines the efficacy of alternative modeling techniques to predict stock market returns modeled with time-varying coefficients with the goal of developing and implementing a trading strategy that yields excess returns. First, we determine the modeling technique with the smallest forecast error using historical predictors: the differenced dividend-price ratio, lagged S&P 500 returns, and the change in implied volatility. The candidate modeling techniques include both constant and recursive ordinary least squares (OLS) regression methods and diverges from previous return forecast literature with the comparison of a state-space model (SSM) cast as a VAR(1) process to each OLS technique. The …