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Author: George Panayotov
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Category : Options (Finance)
Languages : en
Pages :
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Author: George Panayotov
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Category : Options (Finance)
Languages : en
Pages :
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Author: Cagdas Tahaoglu
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Category :
Languages : en
Pages : 0
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This dissertation consists of three essays that address recent topics in financial markets that concern for scholars, policymakers, and investors. The first essay examines the benefits of international diversification for US investors, while accounting for market development, corporate governance, market cap effects, and structural change across countries over period August 1996 -July 2013. Improved risk adjusted returns are obtained from a diversified portfolio consisting of a mix of developed and emerging countries. Additionally, we find that diversification benefits are not significant for most of the small-cap foreign assets when an investor already holds position in corresponding countries large-cap assets. Diversification benefits based on the governance effectiveness of a country's companies are not ubiquitous. We find that economically significant improvements in risk-return performance can be attained by adding large caps of developed countries with high and low overall Governance Metrics International (GMI) ratings and large and small caps of emerging countries with low overall GMI ratings to the investment universe containing the assets of common law developed countries. However, diversification benefits are economically significant only for large and small caps of low GMI emerging countries when short selling is not allowed. The second essay looks at the market impact of recent regulatory changes in Canada that provide for trading halts on individual stocks that experience large upside or downside movements. The focus is on all stocks traded on the Toronto Stock Exchange since the inception of the single stock circuit breaker rule (SSCB) in February 2012, to replace the short-sale uptick rule. The results support pricing efficiency: material information that caused the circuit breaker is incorporated in stock prices on the day of the halt (neither overreaction nor underreaction), with no decline in market liquidity. Using trade-by-trade data constructed on 5-minute trading intervals, we refine the daily results, and show that shocks in realized volatility are focused in the ten-minute trading interval surrounding the halts. While circuit breakers provide a limited "safety net" for investors when their stocks are subject to severe volatility, they do not provide for a quick turnaround for stocks experiencing severe price decline events. The last essay re-examines the historical vs implied volatility spread anomaly, reported by Goyal and Saretto (2009) using a second-order stochastic dominance (SSD) criterion. The approach incorporates transaction frictions, and is robust to model specification problems, return distributions, as well as preferences. It is found that option trading frictions such as cash collateral requirements and option trading costs significantly reduce but do not eliminate returns to a long-short straddle trading strategy pre-2006 period. However, the anomaly disappears after 2006, consistent with market efficiency. The SSD test results confirm the findings.
Author: Rémi Galarneau-Vincent
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Category : Derivatives (Mathematics)
Languages : en
Pages : 0
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Author: Pawan Jain
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Category :
Languages : en
Pages :
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This dissertation is composed of three essays. The first essay investigates the information content of the limit order book (LOB) on the Shanghai Stock Exchange (SHSE), a purely order-driven market, for predicting future stock price volatility. We find that the LOB supply schedule consistently and significantly predicts the future price volatility. But this predictive power of LOB declines during the extreme market wide movements. We also find that buy orders are more informative over future price volatility than sell orders but sell (buy) orders becomes more informative during the extreme market wide down (up) movement days. Finally, we document that predictive power of LOB is short lived and markets are efficient over the longer time horizon. The second essay examines the effect of high frequency trading on market quality, systemic risk and trading strategies. In 2010 the Tokyo Stock Exchange, the largest exchange headquartered outside the US, introduced a new trading platform, Arrowhead, which reduced latency by 99.97% and increased co-located high-frequency trading from zero to 36% of volume. Arrowhead improved market liquidity and reduced volatility, but it also amplified systematic risks factors like quotes to trade ratio, order-flow autocorrelation and cross correlation, and tail risks. Arrowhead also affected trading strategies by increasing trade price predictability and the use of fleeting orders. Cost of immediacy serves as a channel through which reduced latency affects market quality, systematic risks, and trading outcome. The third essay analyzes the links between corporate finance policies and investment clienteles by comparing the cross-sectional variation in the dividend payout policies of companies across 32 countries. Beyond the impact of firm-specific accounting and financial variables, this study investigates how the country level variations: shareholder demand due to demographic variations and consumption needs, agency problems manifested in the extent of minority shareholder protection and business disclosures, and market quality in terms of transparency and liquidity; affect dividend payout policies. We find that firms have generous dividend payout policies when diverse shareholder demands are strong, extents of business disclosures and legal protections are weak, and the market qualities are poor. The empirical evidence supports the presence of strong dividend clienteles in a global setting. .
Author: Peilin Hsieh
Publisher:
ISBN:
Category :
Languages : en
Pages : 318
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My dissertation focuses on economic studying of volatility issues. Three essays are contained in my dissertation. Essay 1 extends a microstructure model to explain the change of volatility and thus links traders' belief to the volatility change. Our model shows that when market is more uncertain about the value of the stock, the higher the (return) volatility. Essay 2 turns to explore more economic factors that could cause volatility regime switch. We find that US stock return processes, including drift, diffusion, and jump, differ along with US political cycle. Our results imply that the presidency in different parties has distinct policy making processes and thus influence the way information flows into the market, altering the return processes. In the final essay, we document and explain a volatility Bid-Ask spread pattern that increases as time to maturity decreases. Our research develops a model that explains the volatility spread pattern. We show that, as time passes, the required hedging uncertainty premium charged by the liquidity providers decays more slowly while the premium contained in the quoted options price decays at an increasingly higher rate which is determined by the option pricing model. Therefore, liquidity providers need to increase asking and decrease bidding volatility to maintain the profit necessary to compensate slowly decaying hedging uncertainty premium. Our results strongly suggest that studies on volatility spread should detrend the data to make the estimation models correct as well as the series stationary. Without adjusting the trend and autocorrelation problems, statistical results are inaccurate and misleading. More importantly, based on our theoretical model, we also find that: (a) the implied volatility spread does not increase in proportion to the increase of implied volatility, and (b) the increase of volatility uncertainty is not a sufficient condition for an increase in the percentage spread. Finally, to augment the validity of our claims, we provide rigorous econometric tests which support our propositions.
Author: Chengbo Fu
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Category :
Languages : en
Pages : 0
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This dissertation consists of three essays on stock market volatility. In the first essay, we show that investors will have the information in the idiosyncratic volatility spread when using two different models to estimate idiosyncratic volatility. In a theoretical framework, we show that idiosyncratic volatility spread is related to the change in beta and the new betas from the extra factors between two different factor models. Empirically, we find that idiosyncratic volatility spread predicts the cross section of stock returns. The negative spread-return relation is independent from the relation between idiosyncratic volatility and stock returns. The result is driven by the change in beta component and the new beta component of the spread. The spread-relation is also robust when investors estimate the spread using a conditional model or EGARCH method. In the second essay, the variance of stock returns is decomposed based on a conditional Fama-French three-factor model instead of its unconditional counterpart. Using time-varying alpha and betas in this model, it is evident that four additional risk terms must be considered. They include the variance of alpha, the variance of the interaction between the time-varying component of beta and factors, and two covariance terms. These additional risk terms are components that are included in the idiosyncratic risk estimate using an unconditional model. By investigating the relation between the risk terms and stock returns, we find that only the variance of the time-varying alpha is negatively associated with stock returns. Further tests show that stock returns are not affected by the variance of time-varying beta. These results are consistent with the findings in the literature identifying return predictability from time-varying alpha rather than betas. In the third essay, we employ a two-step estimation method to separate the upside and downside idiosyncratic volatility and examine its relation with future stock returns. We find that idiosyncratic volatility is negatively related to stock returns when the market is up and when it is down. The upside idiosyncratic volatility is not related to stock returns. Our results also suggest that the relation between downside idiosyncratic volatility and future stock returns is negative and significant. It is the downside idiosyncratic volatility that drives the inverse relation between total idiosyncratic volatility and stock returns. The results are consistent with the literature that investor overreact to bad news and underreact to good news.
Author: Shane K. Clark
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Category :
Languages : en
Pages : 0
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Essay 3 investigates the relation between proxies for investor sentiment and stock market crises and recoveries on international indices. Using an Early-Warning-System (EWS) model, the essay examines whether investor sentiment is a useful predictor for the occurrence of stock market crises and early signs of recovery. Three alternative proxies are used to measure investor sentiment, including previously cited measures of stock market riskiness, investors' risk aversion and investors' optimism about stock markets. The results show that investor sentiment is overall a significant predictor of the occurrence of crises within a one year period, and that the addition of sentiment into early warning signal models of stock market crises can improve the predictive performance of the model (increases in investor sentiment increase the probability of occurrence of a crisis, which is in line with previous contributions finding a negative lead-lag relation between sentiment and stock returns). The extension of the model to early signs of recoveries also shows that sentiment is a reliable predictor. The measure of stock market riskiness (Baker and Wurgler, 2006) is found to be a better predictor than the Volatility Index (VIX) and the Put-to-Call Ratio (PCR). The cross-country comparison results confirms the literature findings that the link between sentiment and stock market returns varies across indices and cultures, as the predictive power of the variable appears strongest in the French and U.S. indices.
Author: Yi Xue
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Category : Econometrics
Languages : en
Pages : 0
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This thesis consists of three essays that study three interdependent topics: microstructure foundation of volatility clustering, inefficiency of information diffusion and jump detection in high frequency financial time series data. Volatility clustering, with autocorrelations of the hyperbolic decay rate, is unquestionably one of the most important stylized facts of financial time series. The first essay forms Chapter 1 which presents a market microstructure model that is able to generate volatility clustering with hyperbolic autocorrelations through traders with multiple trading frequencies using Bayesian information updating in an incomplete market. The model illustrates that signal extraction, which is induced by multiple trading frequency, can increase the persistence of the volatility of returns. Furthermore, it is shown that the local temporal memory of the underlying time series of returns and their volatility varies greatly with the number of traders in the market. The second essay, Chapter 2, presents a market microstructure model showing that an increasing number of information hierarchies among informed competitive traders leads to a slower information diffusion rate and informational inefficiency. The model illustrates that informed traders may prefer trading with each other rather than with noise traders in the presence of the information hierarchies. Furthermore, it is shown that momentum can be generated from the trend following behavior pattern of noise traders. I propose a new nonparametric test based on wavelets to detect jump arrivals in high frequency financial time series data, in the third essay, Chapter 3. It is demonstrated that the test is robust for different specifications of price processes and the presence of market microstructure noise and it has good size and power. Further, I examine the multi-scale jump dynamics in U.S. equity markets and the findings are as follows. First, the jump dynamics of equities are entirely different across different time scales. Second, although arrival densities of positive jumps and negative jumps are symmetric across different time scales, the magnitude of jumps is distributed asymmetrically at high frequencies. Third, only twenty percent of jumps occur in the trading session from 9:30AM to 4:00PM, suggesting that jumps are largely determined by news rather than liquidity shocks.
Author: Jose Gonzalo Rangel
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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Author: Jingyi Liu (Ph.D.)
Publisher:
ISBN:
Category :
Languages : en
Pages : 279
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