This paper examines the role that gold and other precious metals play in portfolio construction as hedges and safe havens in comparison with the Volatility Index (VIX), a derivative of market volatility. Gold has long been considered to be among the best assets for reducing portfolio volatility due to its lack of correlation with the overall market. However, the major finding of this paper is that while gold and the other precious metals do serve in this role to varying extents, the VIX performs this function far better. Both econometric and portfolio analyses reveal that the VIX improves overall portfolio performance to a greater extent, and most importantly serves as an effective safe haven relative to the market.

Momentum investing is the process of buying stocks that have performed strongly in the past and shorting historically weak performers. Past empirical research has consistently shown momentum to generate significantly positive returns on a zero-cost strategy. We show that momentum performs well regardless of the specific time horizon used in formation and investment and motivate a one month gap between forming the portfolio and investing in it. Consistent with literature, we find momentum crashes–months where momentum’s profitability dramatically reverses–and demonstrate that momentum crashes occur across all time horizon variations in momentum. Lastly, we show that the momentum portfolio during crash months is not marked by clustering in specific industries, and that the momentum premium can- not be explained by risk from regulatory uncertainty of the financial services industry.

In essay one, my primary objective is to see the sensitivity of foreign exchange rate risk on firm performance in US manufacturing industry and examine if the hedging help reduce the foreign exchange rate risk. I am particularly interested in manufacturing industry because of the nature of business operation of manufacturing firms. Manufacturing firms in US are not only exposed to foreign exchange fluctuation from sales and revenue but also are exposed to foreign exchange rate risk for procurement, placement and investment. I find that the firms with extreme foreign exchange rate risk exposure exhibit lower daily return and firms with very low foreign exchange rate risk exhibit higher daily return using the portfolio approach. I also find that the firms that hedge has lower foreign exchange rate exposure compared to firms that don’t hedge. The coefficient for hedge is negative and statistically significant. In essay two, I investigate the effect of executive compensation on exchange rate risk in US manufacturing industry. There is a large theoretical and empirical interest on executive compensation using agency framework that investigates the conflict of interest between shareholders and corporate executives. That interest has been largely aligned with the use of managerial performance dependent on observable measures of firm performance. Since US manufacturing firm is largely exposed to foreign exchange transactions by design, I investigate if the value of in-the-money unexercised vested executive stock option has any impact on foreign exchange rate exposure. I investigate if the value of in-the-money unexercised unvested executive stock option has any impact on executive stock option. Using pooled OLS, fixed effect panel data and random effect panel data, I find that in all 3 model value of in-the-money unexercised vested executive stock option has negative coefficient and is statistically significant. At the same time in all 3 models the value of in-the-money unexercised unvested executive stock option is positive and is statistically significant.

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The results generated by this research argue that, in the future, communities should take into account crime and other social costs as they analyze the merits of investing in new sports complexes and that a failure to consider these factors could constitute a serious dereliction on the parts of the public officials who are ultimately responsible for new facility investment decision making. Moreover, both this research and previous studies of the economic effects of new sports facilities, strongly indicate that public entities considering funding new facilities do a more in depth independent study of the likely economic consequences of their prospective investments before moving forward.

It has been twelve years since the last time the yield curve was inverted. Since 2017, the yield curve has been continuing to flatten and has almost entered an inverted state. The last five recessions have been preceded by the inversion of the yield curve. I examine momentum trading strategy’s ability to outperform during an inverted yield curve state. The yield curve can enter the momentum portfolio strategy through the portfolio’s formation and holding period. I document the increased performance of the momentum strategy’s total portfolio return in an inverted state. These results have implications on the timing a momentum trading strategy might be implemented.

Previous empirical studies show that returns on gold mining equities are positive and statistically significantly related to changes in the price of gold. However, these studies fail to examine operational factors that may provide further explanatory power to gold mining equity returns. Examining quarterly gold mining equity returns, All-In Sustaining Cost and gold production results between 2013 and 2018, I find that there exists a positive and statistically significant relationship between changes in gold mining equity returns and the price of gold and a negative and statistically significant relationship between lagged changes in All-In Sustaining Cost and gold mining equity returns. My findings suggest that investors must be cognizant of cost metrics when seeking gold exposure through gold mining equities.

This paper examines the lockup expiration date event for technology firms post Global Financial Crisis to investigate the existence of abnormal returns around this date and determine the explanatory power that insider trading and the increase in available shares have on the abnormal return. Contributions to literature include using an updated sampling, targeting the technology industry, and constructing unique variables such as the dollar value of insider trades around the lockup expiration date. There exists statistically significant three-day cumulative abnormal returns of -1.33%. Firms with higher percentages of insiders who sell their positions tend to experience a further decrease in cumulative abnormal returns (CAR). The supply effect of these shares being opened to the market is not significant at the 95% confidence level. Thus, insider trading rather than increased supply accounts for variations in the abnormal returns across technology firms.

The first chapter studies mutual funds. I model intraquarter trading and use a genetic algorithm to estimate the trade pattern that is most consistent with the fund's daily reported returns. I validate the model empirically on a sample of institutional trades from Ancerno and I confirm that the method more accurately predicts daily holdings when compared to existing naive assumptions. Further, my method is substantially more accurate in classifying a fund's tendency to supply liquidity, and this increased precision has important implications for identifying superior performing funds. Specifically, a long-short strategy based on the model's liquidity provision measures earns significant abnormal returns, while a similar strategy that relies on quarterly holdings does not exhibit any outperformance. The second chapter studies investment research. We find evidence that crowdsourced investment research facilitates informed trading by retail investors and improves firm liquidity. Specifically, retail order imbalances are strongly correlated with the sentiment of Seeking Alpha articles, and the ability of retail order imbalances to predict returns is roughly twice as large on research article days. In addition, firms with exogenous reductions in Seeking Alpha coverage experience increases in bid-ask spreads and price impact, with the effect being stronger for firms with high retail ownership. Our findings suggest that technological innovations have helped democratize access to investment research with important implications for firm liquidity.

The higher the level of information asymmetry between a firm and its investors, the higher is the firm’s reluctance to raise money externally, potentially leading to investment distortions. An improved disclosure system reduces information asymmetry and therefore, lessens the adverse selection effects of external financing, thereby moderating investment inefficiencies. In this paper, we examine the impact of potentially improved transparency stemming from stricter disclosure requirements (Clause 49) on financing and investment decisions of Indian firms. The results show that reliance of Indian firms on internal financing in the pre-reform period gives way to greater use of external financing in the post-reform period, and alleviation in financial constraints. While expanded funding sources do not seem to improve investment unambiguously, firms that suffered under-investment prior to the reform show a significant improvement in investment post-reform. Firms also increase their financial slack making it possible for them to engage in acquisitions within India as well as abroad.