本文研究分為兩個部分。第一部分以全球發行追蹤標的為各國加權指數之兩倍槓桿型ETF為研究樣本，探討各槓桿型ETF發行日起至2016年3月間ETF的追蹤誤差。再者，分析槓桿型ETF之個別績效，以槓桿型ETF報酬率與追蹤標的指數報酬率差異之絕對值作為追蹤誤差之衡量，各槓桿型ETF平均之追蹤誤差在0.01到2.96個基本點，在45檔槓桿型ETF中，有24檔槓桿型ETF在10%顯著水準下異於零。第二部分進一步分析在10%顯著水準下顯著異於0之槓桿型ETF，造成其追蹤誤差的原因， 研究結果顯示，總費用率、匯率變動率、資產規模變動率、成交量變動率、標的指數成分股數、追蹤標的之地區等原因皆與追蹤誤差皆顯著影響槓桿型ETF追蹤誤差的大小。

"This paper describes our work in exploring trading strategies for the leveraged exchange-traded funds, Direxion Daily Financial Bull 3X (FAS) and Direxion Daily Financial Bear 3X (FAZ) over the first three quarters of 2009. Using minute-by-minute stock data we are able to verify the accuracy of these ETFs in regards to their target of the Russell 1000 Financial Index (RIFIN). We are then able to quantify the returns and risks involved with trading strategies that seek to exploit the ETFs objectives, specifically momentum trades, tracking-error discrepancy trades, and a combination of the two strategies we term “discount-and-up.” Bootstrap simulation techniques are employed to measure values at risk and conditional tail expectations over 30 day time horizons for each strategy. Lastly, we demonstrate the dangers of traditional buy-and-hold investing with regards to leveraged ETFs."

This paper seeks to unconventionally maximize the volatility of a portfolio through a quartic optimization based on Markowitz’s modern portfolio theory, which generally seeks to do exactly the opposite. It shows that through this method, a daily leveraged exchange traded fund (ETF) strategy investigated by Posterro can be significantly improved upon in terms of its Sharpe ratio. The original strategy seeks to use a combination of momentum trading and tracking error in leveraged ETFs to trade during the last half an hour of the trading day, but it suffers in a low volatility market. By maximizing the volatility to take better advantage of tracking error and momentum, this problem is addressed by both increasing the mean daily return and significantly decreasing the variance of the strategy’s daily returns. GARCH forecasting is also implemented to assist in the maximization of the daily portfolios’ variances, though this does not prove to make a statistically significant difference in the strategy’s performance.

In my Senior Thesis, I explore the growth of socially responsible investing (SRI) practices in U.S. equity markets and abnormal sin stocks returns. I analyze the historical performance of socially responsible ETFs and portfolios of current sin stocks—alcohol, tobacco, gaming, and aerospace & defense stocks. I propose that as socially responsible investing practices continue to grow in U.S. equity markets, more industries will eventually be deemed sinful—such as sugary beverages, fast food/sugary food, biotech & pharmaceuticals, and tech/social media. I examine two sinful industries—alcohol and tobacco—by comparing the performance of these sinful portfolios before and after their industries were widely perceived as sinful. I explored these topics for a few key reasons. First, socially responsible investing practices in U.S. equity markets have exploded in popularity over the last decade. Every year, we see increasing amounts of money screened for environmental, social and governance (ESG) factors. Despite its increase in popularity, many people have claimed that socially responsible investing isn’t financially responsible investing—it underperforms as compared to common benchmarks such as the S&P 500. On the other hand, existing literature has supported the claim that investing in sin stocks generates abnormal returns for investors. I hypothesize that these two areas of portfolio management are connected—as socially responsible investing practices continue to grow, more industries will eventually be widely perceived as sinful. If the sin stock anomaly does exist and portfolios of sin stocks do generate abnormal returns, individuals and institutions can benefit from an immediate and long term investment strategy by investing in these “future” sinful industries now. Using three distinct capital asset pricing models—the Fama-French 3 Factor Model, the Fama-French 3 Factor Model plus Momentum, and the Fama-French 5 Factor Model—I come to four main conclusions. First, investing in socially responsible ETFs does not generate positive abnormal returns; in some instances, it generates statistically significant negative abnormal returns. Second, across the Fama-French 3 Factor Model, the Fama-French 3 Factor Model plus Momentum, and the Fama-French 5 Factor Model, portfolios of sin stocks from 1977-2018 generate statistically significant positive abnormal returns. Third, during the same time horizon, portfolios of future sin stocks exhibit similar levels of abnormal returns, especially portfolios of biotech & pharmaceutical stocks and portfolios of tech/social media stocks. Finally, portfolios of alcohol and tobacco stocks generated statistically significant abnormal returns after being widely perceived as sinful as compared to before they were widely perceived as sinful. My research has implications for practicing portfolio managers. First, socially responsible investing isn’t financially responsible investing. Second, portfolio managers should consider how the growth of socially responsible investing practices will impact perceptions of what is sinful. Anticipating which industries will become sinful can yield a profitable investment strategy. Third, I promote a profitable investment strategy in the short- and long-term time horizon. The results are clear: go long on sin and short on SRI.

<p>Utifrån en historisk jämförelse av de tre äldsta svenska ETFerna undersöker vi huruvida svensknoterade ETFer är en bättre placeringsstrategi än aktivt förvaltade Sverigefonder. Studien genomförs med de fyra utvärderingsmåtten Sharpe Ratio, Treynor Ratio, Jensen’s alfa samt Information Ratio för att se om ETFer ger högre riskjusterad avkastning än jämförbara aktivt förvaltade Sverigefonder. De tre ETFerna, XACT OMXS30, XACT OMXSB och XACT OMXSBULL jämförs mot samtliga aktivt förvaltade Sverigefonder som har som strategi att investera i stora bolag listade på Stockholmsbörsen. Samtliga utvärderingsmått ger tvetydiga resultat men två av de undersökta ETFerna visar sig ha genererat högre riskjusterad överavkastning än de jämförda fonderna. ETFernas överavkastning kan inte statistiskt säkerställas och bör därför tolkas med försiktighet. Vår undersökning indikerar dock att det kan vara mer fördelaktigt för privata investerare som värdesätter hög likviditet och aktierelaterade egenskaper att investera i ETFer framför aktivt förvaltade fonder.</p>

Background: Ever since Sharpe, Treynor and Jensen advanced the methods of fund performance evaluation in the 60’s it has been a popular field of study in academia. As the intricacies of fund performance was untangled it became clear that paying for active management doesn’t yield higher cost adjusted returns. An Index investment strategy is the most sensible approach and it’s the associated cost which separate index vehicles. Exchange traded funds have risen as a competitor to the conventional index mutual fund but the research evaluating these is very scarce. The research conducted comparing the costs of the two vehicles do not take into account implicit transaction costs that in turn depend on specific market microstructure designs and could affect the cost relationship. The problem: Do liquidity and market structural disparities between markets affect the cost relationship between exchange traded funds and index mutual funds, through the implicit transaction cost? Objective of the research: The objective of this paper is to examine whether structural differences between markets affect implicit transaction costs to the extent that the cost relationship between index funds and exchange traded funds differ from earlier findings. Method: The need to generalize the findings prompted a quantitative approach to the research. Comparative examination will be done on the microstructure and liquidity of two different markets. The transaction costs will then be measured with statistical means and incorporated in a cost comparison model. Result and conclusion: There are architectural and liquidity differences between the two sample markets allowing for systematic differences in transaction cost, which were found but were not a significant contributor to the tracking error cost of the index mutual funds. The Swedish ETF do not get more profitable as the investment sum increases. A finding which contradicts earlier findings and is likely a consequence of the Swedish tax-laws for capital gains as well as the higher levels of management fees for ETFs. ETFs might still be a worthwhile investment since they possess unique qualitative benefits.

Utifrån en historisk jämförelse av de tre äldsta svenska ETFerna undersöker vi huruvida svensknoterade ETFer är en bättre placeringsstrategi än aktivt förvaltade Sverigefonder. Studien genomförs med de fyra utvärderingsmåtten Sharpe Ratio, Treynor Ratio, Jensen’s alfa samt Information Ratio för att se om ETFer ger högre riskjusterad avkastning än jämförbara aktivt förvaltade Sverigefonder. De tre ETFerna, XACT OMXS30, XACT OMXSB och XACT OMXSBULL jämförs mot samtliga aktivt förvaltade Sverigefonder som har som strategi att investera i stora bolag listade på Stockholmsbörsen. Samtliga utvärderingsmått ger tvetydiga resultat men två av de undersökta ETFerna visar sig ha genererat högre riskjusterad överavkastning än de jämförda fonderna. ETFernas överavkastning kan inte statistiskt säkerställas och bör därför tolkas med försiktighet. Vår undersökning indikerar dock att det kan vara mer fördelaktigt för privata investerare som värdesätter hög likviditet och aktierelaterade egenskaper att investera i ETFer framför aktivt förvaltade fonder.

In this dissertation, three related issues concerning empirical time series models for energy financial markets and the stock market were investigated. The purpose of this dissertation was to analyze the interdependence of price movements, focusing on the forecasting models for crude oil prices and the hedging models for gasoline prices, and to study the change in the contemporaneous causal relationship between investors' activities and stock price movements in the Korean stock market. In the first essay, the nature of forecasting crude oil prices based on financial data for the oil and oil product market is examined. As crack spread and oil-related Exchange-Traded Funds (ETFs) have enabled more consumers and investors to gain access to the crude oil and petroleum products markets, I investigated whether crack spread and oil ETFs were good predictors of oil prices and attempted to determine whether crack spread or oil ETFs were better at explaining oil price movements. In the second essay, the effectiveness of diverse hedging models for the unleaded gasoline price is examined using futures and ETFs. I calculated the optimal hedge ratios for gasoline futures and gasoline ETF utilizing several advanced econometric models and then compared their hedging performances. In the third essay, the contemporaneous causal relationship between multiple players' activities and stock price movements in the Korean stock market was investigated using the framework of a DAG model. The causal impacts of three players' activities in regard to stock return and stock price volatility are examined, concentrating on foreign investor activities. Within this framework, two Korean stock markets, the KSE and KOSDAQ markets, are analyzed and compared. Recognizing the global financial crisis of 2008, the change in casual relationships was examined in terms of pre- and post-break periods. In conclusion, when a multivariate econometric model is developed for multi-markets and multi-players, it is necessary to consider a number of attributes on data relations, including cointegration, causal relationship, time-varying correlation and variance, and multivariate non-normality. This dissertation employs several econometric models to specify these characteristics. This approach will be useful in further studies of the information transmission mechanism among multi-markets or multi-players.

Exchange traded funds (ETFs) have increased significantly in popularity since they were first introduced in 1993. However, there is still much that is unknown about ETFs in the extant literature. This dissertation attempts to fill gaps in the ETF literature by using three related essays. In these three essays, we compare ETFs to closed ended mutual funds (CEFs) by decomposing the bid-ask spread into its three components; we look at the intraday shape of ETFs and compare it to the intraday shape of equities as well as examine the co-integration factor between ETFs on the London Stock Exchange and the New York Stock Exchange; we also examine the differences between leveraged ETFs and unleveraged ETFs by analyzing the impact of liquidity and volatility. These three essays are presented in Chapters 1, 2, and 3, respectively. Chapter one uses the Huang and Stoll (1997) model to decompose the bid-ask spread in CEFs and ETFs for two distinct periods—a normal and a volatile period. We show a higher adverse selection component for CEFs than for ETFs without regard to volatility. However, both ETFs and CEFs increased in magnitude of the adverse selection component in the period of high volatility. Chapter two uses a mix of the Werner and Kleidon (1993) and the Hupperets and Menkveld (2002) methods to get the intraday shape of ETFs and analyze co-integration between London and New York trading. We find two different shapes for New York and London ETFs. There also appears to be evidence of co-integration in the overlapping two-hour trading period but not over the entire trading day for the two locations. The third chapter discusses the new class of ETFs called leveraged ETFs. We examine the liquidity and depth differences between unleveraged and leveraged ETFs at the aggregate level and when the leveraged ETFs are classified by the leveraged multiples of -3, -2, -1, 2, and 3, both for a normal and a volatile period. We find distinct differences between leveraged and unleveraged ETFs at the aggregate level, with leveraged ETFs having larger spreads than unleveraged ETFs. Furthermore, while both leveraged and unleveraged ETFs have larger spreads in high volatility, for the leveraged ETFs the change in magnitude is significantly larger than for the unleveraged ETFs. Among the multiples, the -2 leveraged ETF is the most pronounced in its liquidity characteristics, more so in volatile times.

This paper investigates differences in returns between the ETF price, Net Asset Value, and Benchmark Asset Baskets for five popular futures-backed ETFs. We decompose tracking difference to examine the relative size of tracking differences attributable to managers versus the arbitrage process. Tracking differences attributable to managers is found to be significantly smaller than that attributable to the arbitrage process. We then test for average Tracking Differences using the Mincer-Zarnowitz Equation. We find evidence of bias in returns for multiple ETFs and demonstrate the usefulness of the decomposition. Furthermore, we investigate the dynamics of Tracking Error using a GARCH methodology. We find support that the volatility of the ETF effects Tracking Error but find no evidence that rolling futures contracts influences Tracking Error. / Master of Science / This research focuses on futures-backed commodity ETFs. ETFs are exchange-traded instruments and are a convenient way for investors to gain commodity exposure without having to have access to a margin account, deal with futures contract expiration, or the large size of futures contracts. We investigate the ability of these instruments to achieve their investment goals: namely to perfectly replicate the exposure of a benchmark of futures contracts. We find that differences in the returns of the benchmark and ETF exist on average and that the bulk of these differences are attributable to the Creation and Redemption process rather than the ETF manager. Finally, we find that market volatility effects the volatility of these differences, but roll dates have no effect.