You limited your search to:
- An Analysis of Market Efficiency for Exchange-traded Foreign Exchange Options on an Intraday Basis
- This study examines the comparative magnitude of disturbances in intraday data for exchange traded foreign exchange (FX) options. An in-depth time series analysis on the frequency and extent of discrepancies in the disturbances is conducted. The purpose of this study is twofold. First, using intraday data and trading volume, this study attempts to determine whether both put-call parity and lower boundary conditions consistently hold for exchange traded options written on U.S. dollar denominated options on the Euro trading on the Philadelphia Stock Exchange (PHLX). Second, this study attempts to investigate the magnitude of any discrepancies that may exist due to a temporary cessation of either put-call parity or lower boundary conditions. Intraday (tick-by-tick) bid prices, ask prices, and trading volume on U.S. dollar denominated European style call options and put options on the Euro are obtained. Option data is collected through a Structured Query Language (SQL) request from the Bloomberg database. Corresponding tick-by-tick spot rates for the underlying exchange rate are obtained for the same time period. Tick-by-tick 3-month Treasury bill rates are obtained to for use as the relevant risk-free interest rate. The primary data set spans an approximate one month period from 11/1/2011 to 12/6/2011. Call and option pricing data for near-the-money exercise prices are obtained for options expiring in December 2011, January 2012, February 2012, March 2012, June 2012, and September 2012. A total of 7,212 ticks (minutes) are analyzed for the conversion strategy and 7,209 ticks are analyzed for the reversal strategy. The data is structured into an unbalanced panel data set (cross-sectional time series data) using put-call pairs as the cross sectional units and ticks as the time-series unit. To test the efficiency of the foreign exchange options market, lower boundary and put-call parity conditions were tested on tick-by-tick currency option data. Analysis shows that lower boundary conditions hold for the overwhelming majority of options, with less than 0.0001% of violations for the observed options. A more detailed econometric analysis was prepared to test the put-call parity condition for currency options. A fixed effects model specification is used to describe the put-call parity relationship. Based on the analysis, it is possible to obtain arbitrage profits in the short run through the use of either a conversion or reversal strategy even after accounting for transaction costs. Taking the first differences of the variables resulted in a model with stationary variables and statistically significant estimators. The inclusion of dummy variables for moneyness did not add significant explanatory power to the deterministic put-call parity relationship. For both first differences of conversion and reversal strategies, the large t-statistics for the slope coefficients and intercept terms indicate a rejection of the null hypothesis, H0: λ0 = 0 and λ1 = 1 after adjusting for standard error. This implies that once transaction costs are adjusted for, put-call parity does not hold. However, the intercept term is only very slightly negative, and the intercept term is only slightly less than one in both cases. This implies that when put-call parity is violated, arbitrage profit should be relatively small.
- Determinants of Outbound Cross-border Mergers and Acquisitions by Emerging Asian Acquirers
- This dissertation identifies key determinants of outbound cross-border mergers and acquisitions (M&As) by emerging Asian acquirers during 2001-2012. Using a zero-inflated model that takes into account different mechanisms governing country pairs that never engage in cross-border M&As and country pairs that actively participate in cross-border M&As, I uncover unique patterns for emerging Asian acquirers. Emerging Asian acquirers originate from countries with lower corporate tax rates than those countries where their targets are located. Furthermore, the negative impact of an international double tax burden is significantly larger than that found in previous studies. While country governance differences and geographical and cultural differences are important determinants of international M&As, relative valuation effects are muted. Coefficients of these determinants vary substantially, depending on whether targets are located in developing or advanced nations. Also, determinants differ considerably between active and non-active players in cross-border M&As. Moreover, comparisons of empirical models illustrate that estimating a non-linear model and taking into account both the bounded nature and non-normal distributions of fractional response variables lead to different inferences from those drawn from a linear model estimated by the ordinary least squares method. Overall, emerging Asian acquirers approach the deals differently from patterns documented in developed markets. So, when evaluating foreign business combinations or devising policies, managers or policymakers should consider these differences.
- Is 100 Percent Debt Optimal? Three Essays on Aggressive Capital Structure and Myth of Negative Book Equity Firms
Access: Use of this item is restricted to the UNT Community.
This dissertation comprises of three related essays in regard of puzzling negative book equity phenomenon among U.S. public firms. In essay 1, I present the evidence that there is an increasing trend of negative book equity firms over the past 50 years, from 0.3% up to over 5% among publicly traded firms in US. In contrast to previous research which generally classify these firms as distressed firms with highly likelihood of bankruptcy, I propose a new method to separate Healthy Negative Book Equity Firms (HNBEF) from relatively more distressed negative book equity firms. The results show that HNBEF have much higher net income and interest coverage ratio, they survive longer, and pay more dividends. More interestingly, these firms are often actively increase share repurchases and debt issuance. These facts, combined with their strong profitability, indicate that managers of these firms are actively increasing their leverage and choose to be negative book equity firms. To explain the existence of HNBEF, in essay 2, I investigate several possible reasons that may contribute to the extreme leverage of these firms. I find that HNBEF are substantially undervalued by their book assets as stated on the balance sheet. In addition, the value of intangible assets, especially those off-balance sheet intangible assets, is positively related to the probability of becoming HNBEF. Moreover, I find that characteristics of intangible assets and firms also play important role on existence of HNBEF. Specifically, I find that both liquidity and redeployability of intangible assets are positively related with the probability of becoming HNBEF. Also, firms associated with closer borrower-lender relationship are more likely to become HNBEF. To investigate if the aggressive capital structure adopted by HNBEF is optimal, in essay 3, I performed several tests to analyze how these firms differ from other firms in terms of operating performance, corporate governance and firm value. My research finds that compared to firms from same industry and with similar size, managers of HNBEF invest more heavily in their own firms, and HNBEF have better corporate governance. In addition, HNBEF are associated with better operating performance and higher value.
- The Limits of Arbitrage and Stock Mispricing: Evidence from Decomposing Market to Book Ratio
- The purpose of this paper is to investigate the effect of the "limits of arbitrage" on securities mispricing. Specifically, I investigate the effect of the availability of substitutes and financial constraints on stock mispricing. In addition, this study investigates the difference in the limits of arbitrage, in the sense that it will lead to lower mispricing for these stocks, relative to non-S&P 500 stocks. I also examine if the lower mispricing can be attributed to their lower limits of arbitrage. Modern finance theory and efficient market hypothesis suggest that security prices, at equilibrium, should reflect their fundamental value. If the market price deviates from the intrinsic value, then a risk-free profit opportunity has emerged and arbitrageurs will eliminate mispricing and equilibrium is restored. This arbitrage process is characterized by large number of arbitrageurs which have infinite access to capital. However, a better description of reality is that there are few numbers of arbitrageurs to the extent that they are highly specialized; and they have limited access to capital. Under these condition arbitrage is no more a risk-free activity and can be limited by several factors such as arbitrage risk and transaction costs. Other factors that are discussed in the literature are availability of substitutes and financial constraints. The former arises as a result of the specialization of arbitrageurs in the market in which they operate, while the latter arises as a result of the separation between arbitrageurs and capital. In this dissertation, I develop a measure of the availability of substitutes that is based on the propensity scores obtained from propensity score matching technique. In addition, I use the absolute value of skewness of returns as a proxy of financial constraints. Previous studies used the limits of arbitrage framework to explain pricing puzzles such as the closed-end fund discounts. However, closed-end fund discounts are highly affected by uncertainty of managerial ability and agency problems. This study overcomes this problem by studying the effect of limits of arbitrage on publicly traded securities. The results show that there is a significant relationship between proxies of limits of arbitrage and firm specific mispricing. More importantly, empirical results indicate that stocks that have no close substitutes have higher mispricing. In addition, stocks that have high skewness show higher mispricing. Subsequent studies show that the S&P 500 stocks have different levels of liquidity, analysts’ coverage and volatility. These characteristics affect the ability of arbitrageurs to eliminate mispricing. Preliminary univariate tests show that S&P 500 stocks have, on average, lower mispricing and limits of arbitrage relative to non-S&P 500 stocks. In addition, the multivariate test shows that S&P 500 members have, on average, lower mispricing relative to non-S&P 500 stocks.
- Market Efficiency, Arbitrage and the NYMEX Crude Oil Futures Market
Access: Use of this item is restricted to the UNT Community.
Since Engle and Granger formulated the concept of cointegration in 1987, the literature has extensively examined the unbiasedness of the commodity futures prices using the cointegration-based technique. Despite intense attention, many of the previous studies suffer from the contradicting empirical results. That is, the cointegration test and the stationarity test on the differential contradict each other. In marked contrast, my dissertation develops the no-arbitrage cost-of-carry model in the NYMEX light sweet crude oil futures market and tests stationarity of the spot-futures differential. It is demonstrated that the primary cause of the "cointegration paradox" is the model misspecifications resulting in omitted variable bias.
- The Reasons for the Divergence of IPO Lockup Agreements
- Most initial public offerings (IPOs) feature share lockup agreements, which prohibit insiders from selling their shares for a specified period of time following the IPO. However, some IPO firms agree to have a much longer lockup period than other IPO firms, and some are willing to lockup a much larger proportion of shares. Thus, the primary research question for this study is: "What are the reasons for the divergence of the lockup agreements?" The two main hypotheses that this dissertation investigates are the signaling hypothesis based on information asymmetry, and the commitment hypothesis based on agency theory. This study uses methods that have not been applied by previous studies in the literature relating to IPO lockups. First, I directly use IPO firms operating performance as a proxy for firm quality. The results show neither a negative nor a strong positive relationship between lockup length and firm operating performance. Thus, based on operating performance, the evidence does not support the agency hypothesis while showing weak support for the signaling hypothesis. I then examine the long-run returns for IPO firms with different lockup lengths. I find that firms with short lockup lengths have much better long-run returns than firms with long lockup lengths. Therefore, the results reject the signaling hypothesis while supporting the agency hypothesis. This dissertation further contributes to the IPO long-run underperformance literature by showing that firms with a high agency problem have much worse long-run returns than those with a low agency problem. Finally, I investigate the short-term stock returns around lockup expiry. Generally, I find that firms with short lockup periods experience better stock returns around lockup expiry than firms with long lockup periods, though the returns are not significantly different from one another. Overall, I conclude that the results reject the signaling hypothesis while partially supporting the agency hypothesis. In addition, I show that firms with high agency problems have much worse stock returns than those with low agency problems around lockup expiry, even though the agency variable is not significant in the regression analysis.
- Risk Management And Market Efficiency On The Midwest Independent System Operator Electricity Exchange.
- Midwest Independent Transmission System Operator, Inc. (MISO) is a non-profit regional transmission organization (RTO) that oversees electricity production and transmission across thirteen states and one Canadian province. MISO also operates an electronic exchange for buying and selling electricity for each of its five regional hubs. MISO oversees two types of markets. The forward market, which is referred to as the day-ahead (DA) market, allows market participants to place demand bids and supply offers on electricity to be delivered at a specified hour the following day. The equilibrium price, known as the locational marginal price (LMP), is determined by MISO after receiving sale offers and purchase bids from market participants. MISO also coordinates a spot market, which is known as the real-time (RT) market. Traders in the real-time market must submit bids and offers by thirty minutes prior to the hour for which the trade will be executed. After receiving purchase and sale offers for a given hour in the real time market, MISO then determines the LMP for that particular hour. The existence of the DA and RT markets allows producers and retailers to hedge against the large fluctuations that are common in electricity prices. Hedge ratios on the MISO exchange are estimated using various techniques. No hedge ratio technique examined consistently outperforms the unhedged portfolio in terms of variance reduction. Consequently, none of the hedge ratio methods in this study meet the general interpretation of FASB guidelines for a highly effective hedge. One of the major goals of deregulation is to bring about competition and increased efficiency in electricity markets. Previous research suggests that electricity exchanges may not be weak-form market efficient. A simple moving average trading rule is found to produce statistically and economically significant profits on the MISO exchange. This could call the long-term survivability of the MISO exchange into question.
- Significant Alphas in Real Estate Funds
- This study provide empirical evidence whether bias in the standard errors of Jensen’s alpha explains conflicting results in the extant literature in real estate funds. Significant alphas in real estate mutual funds and REITs are compared with heteroskedasticity consistent covariance matrix estimators (HC1, HC2 and HC3), Newey-West standard errors, a robust regression tempering the effect of high leverage points, a GARCH model, and a HC3 adjusted wild bootstrap. In the analysis of real estate mutual funds and a separate sample set of REITs, the HCCME had a minimal impact attenuating the number of firms with excess returns. Contrary to expectations the differences from HC1 to HC2 to HC3 were also negligible. The Newey-West standard error provided highly variable results when compared with the OLS results particularly in the REIT sample. Of the techniques to adjust for bias in the standard error, the wild bootstrap with HC3 adjustment to the standard error provided the most conservative result to the number of real estate mutual funds and REITs with significant alphas. The co-movement of real estate funds suggests common exogenous influences. Including state variables such as the changes in unexpected inflation, term spread, default spread, market skewness and industrial production growth in a multi-factor model is used to identify systemic economic factors in significant alphas. The significant alphas varied with the inclusion of these variables, the time period and the bias adjustment.
- Single Notch versus Multi Notch Credit Rating Changes and the Business Cycle
- Issuers’ credit ratings change by one or more notches when credit rating agencies provide new ratings. Unique to the literature, I study the influences affecting multi notch versus single notch rating upgrades and downgrades. For Standard & Poors data, I show that rating changes with multiple notches provide more information to the market than single notch rating changes. Consistent with prior literature on the business cycle, I show that investors value good news rating changes (upgrades) more in bad times (recession) and that investors value bad news rating changes (downgrades) more in good times (expansion). I model and test probit models using variables capturing the characteristics of the previous issuer’s credit rating, liquidity, solvency, profitability, and growth opportunity to determine the classification of single notch versus multi notch rating changes. The determinants of multi notch versus single notch rating changes for upgrades and downgrades differ. Business cycle influences are evident. Firms that have multi notch rating upgrades and downgrades have significantly different probit variables vis-à-vis firms that have single notch rating upgrades and downgrades. The important characteristics for determining multiple notch upgrades are a firm’s prior rating change, prior rating, cash flow, total assets and market value. The important characteristics for determining multiple notch downgrades are a firm’s prior rating change, prior rating, current ratio, interest coverage, total debt, operating margin, market to book ratio, capital expenditure, total assets, market value, and market beta. The variables that differ for multi notch upgrades in recessions are cash flow, net income, operating margin, market to book ratio, total assets, and retained earnings. The variables that differ for multi notch downgrades in expansions are a firm’s prior rating change, current ratio, interest coverage ratio, debt ratio, total debt, capital expenditure and market beta. The power of the explanatory tests improves when the stage of the business cycle is considered. Results are robust to consideration of rating changes across rating categories, changes from probit to logit, alternative specifications of accounting variables, lags and leads of recessions and expansions timing, Fama and French industry adjustments, and winsorization levels of variables.
- Time Series Analysis of Going Private Transactions: Before and after the Sarbanes-Oxley Act
- Using 1,473 going private transactions completed between 1985 and 2007, I assess whether the increase in going private transactions that occurred after the passage of the Sarbanes-Oxley Act of 2002 (SOX) was driven by SOX, or whether this phenomenon continues an ongoing historical trend. To examine this issue, I initially used structural break tests and intervention analysis. From the initial techniques, I find support that the passage of SOX increased going private transactions for these categories. Secondarily, I use Granger causality tests and impulse response functions to examine the link between going private transactions and the public stock market. When I categorize going private transactions according to the type of acquirer, transaction size, and target industry, I find bi-directional Granger causality relationships between smaller-sized going private transactions and the S&P 500 Index (or Tobin's Q). I also find several unidirectional Granger causality relationships for some categories of going private transactions, based on the type of acquirer or the target industry, to the S&P 500 Index (or to Tobin's Q). The impulse response of going private transactions (or the public stock market) to a shock in the public stock market (or going private transactions) is not immediate, but is delayed two to three quarters. The link between going private transactions and the public stock market is an ongoing phenomenon, continuing a historical trend for going private transactions. For going private transactions with structural breaks, SOX affects the linkage but not for going private transactions with no structural break.