Essays In Risk Management And Asset Pricing With High Frequency Option Panels
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Risk Management and Value
| Author | : Mondher Bellalah |
| Publisher | : World Scientific |
| Total Pages | : 645 |
| Release | : 2008 |
| Genre | : Business & Economics |
| ISBN | : 9812770747 |
This book provides a comprehensive discussion of the issues related to risk, volatility, value and risk management. It includes a selection of the best papers presented at the Fourth International Finance Conference 2007, qualified by Professor James Heckman, the 2000 Nobel Prize Laureate in Economics, as a high level one. The first half of the book examines ways to manage risk and compute value-at-risk for exchange risk associated to debt portfolios and portfolios of equity. It also covers the Basel II framework implementation and securitisation. The effects of volatility and risk on the valuation of financial assets are further studied in detail. The second half of the book is dedicated to the banking industry, banking competition on the credit market, banking risk and distress, market valuation, managerial risk taking, and value in the ICT activity. With its inclusion of new concepts and recent literature, academics and risk managers will want to read this book. Sample Chapter(s). Introduction (40 KB). Chapter 1: Managing Derivatives in the Presence of a Smile Effect and Incomplete Information (97 KB). Contents: Managing Derivatives in the Presence of a Smile Effect and Incomplete Information (M Bellalah); A Value-at-Risk Approach to Assess Exchange Risk Associated to a Public Debt Portfolio: The Case of a Small Developing Economy (W Ajili); A Method to Find Historical VaR for Portfolio that Follows S&P CNX Nifty Index by Estimating the Index Value (K V N M Ramesh); Some Considerations on the Relationship between Corruption and Economic Growth (V Dragota et al.); Financial Risk Management by Derivatives Caused from Weather Conditions: Its Applicability for Trkiye (T uzkan); The Basel II Framework Implementation and Securitization (M-F Lamy); Stochastic Time Change, Volatility, and Normality of Returns: A High-Frequency Data Analysis with a Sample of LSE Stocks (O Borsali & A Zenaidi); The Behavior of the Implied Volatility Surface: Evidence from Crude Oil Futures Options (A Bouden); Procyclical Behavior of Loan Loss Provisions and Banking Strategies: An Application to the European Banks (D D Dinamona); Market Power and Banking Competition on the Credit Market (I Lapteacru); Early Warning Detection of Banking Distress OCo Is Failure Possible for European Banks? (A Naouar); Portfolio Diversification and Market Share Analysis for Romanian Insurance Companies (M Dragota et al.); On the Closed-End Funds Discounts/Premiums in the Context of the Investor Sentiment Theory (A P C do Monte & M J da Rocha Armada); Why has Idiosyncratic Volatility Increased in Europe? (J-E Palard); Debt Valuation, Enterprise Assessment and Applications (D Vanoverberghe); Does The Tunisian Stock Market Overreact? (F Hammami & E Abaoub); Investor-Venture Capitalist Relationship: Asymmetric Information, Uncertainty, and Monitoring (M Cherif & S Sraieb); Threshold Mean Reversion in Stock Prices (F Jawadi); Households'' Expectations of Unemployment: New Evidence from French Microdata (S Ghabri); Corporate Governance and Managerial Risk Taking: Empirical Study in the Tunisian Context (A B Aroui & F W B M Douagi); Nonlinearity and Genetic Algorithms in the Decision-Making Process (N Hachicha & A Bouri); ICT and Performance of the Companies: The Case of the Tunisian Companies (J Ziadi); Option Market Microstructure (J-M Sahut); Does the Standardization of Business Processes Improve Management? The Case of Enterprise Resource Planning Systems (T Chtioui); Does Macroeconomic Transparency Help Governments be Solvent? Evidence from Recent Data (R Mallat & D K Nguyen). Readership: Academics and risk managers."
Essays on High-frequency Asset Pricing
| Author | : Hongxiang Xu |
| Publisher | : |
| Total Pages | : 106 |
| Release | : 2015 |
| Genre | : |
| ISBN | : |
This thesis uses high-frequency data to estimate the stochastic discount factor. The high-frequency data used is sampled at one-second frequency. The fundamental equation of asset pricing is based on the continuous-time no-arbitrage theory. For empirical estimation, I apply the general method of moments to estimate the market price of risk for the risk factors, which consist of exchange-traded funds (ETFs). In Chapter 1, I estimate a one-factor model using the ETF SPY (an SPDR ETF that tracks S&P 500 index) as the risk factor. The estimated risk prices are significant over 2/3 of the sample, and the time series shows plausible patterns of the overall riskiness of the market. An additional factor using IWM (the Russell 2000 ETF that tracks the performance of the small-cap equity market) as the second factor is incorporated into the model in Chapter 2 to arrive at a two-factor model. Adding IWM improves the performance of the model and the estimation precision substantially: the risk price of SPY is almost always significant and the risk price of IWM is significant for about 2/3 of the sample. In Chapter 3 I extend the two-factor model by adding a third factor. Adding a third factor improves the performance of the model to a modest extent, but the large-cap factor SPY followed by the small-cap factor IWM are predominant.
Essays on International Portfolio Choice and Asset Pricing Under Financial Contagion
| Author | : Zhenzhen Fan |
| Publisher | : |
| Total Pages | : 0 |
| Release | : 2017 |
| Genre | : |
| ISBN | : 9789036104852 |
"The 2008 financial crisis has witnessed prices of assets traded on different exchange markets, of various asset classes, from different geographical locations plunge simultaneously or in close succession, causing serious problems for banks, insurance companies, and other financial institutions. It calls for models that account for the unconventional dependence structure of asset prices beyond the classical paradigm. The class of mutually exciting jump-diffusion processes is a promising workhorse for modeling financial contagion in continuous-time finance. The class provides a parsimonious model of jump propagation, allowing for cross-sectional asymmetry and serial dependence through time: a jump that takes place in one asset market today leads to a higher probability of experiencing future jumps in the same market as well as in other markets around the world. This thesis tries to reconsider some of the classical problems in finance, most noticeably asset pricing, portfolio choice, hedging, and valuation, in the presence of contagion. We show that many investment and risk management implications and market efficiency conditions derived from classical models are no longer valid in the context of financial contagion."--Samenvatting auteur.
Two Essays on Empirical Asset Pricing
| Author | : Yangqiulu Luo |
| Publisher | : |
| Total Pages | : |
| Release | : 2013 |
| Genre | : Finance |
| ISBN | : |
This dissertation consists of two essays on empirical asset pricing. The first essay examines if the idiosyncratic risk is priced. Theories such as Merton (1987) predict that idiosyncratic risk should be priced when investors do not diversify their portfolio. However, the previous literature has presented a mixed set of results of the pricing of idiosyncratic risk. We find strong evidence that idiosyncratic risk is priced differently across bull and bear markets. For the sample period from June 1946 to the end of 2010, a factor portfolio long on stocks with high idiosyncratic volatility and short on stocks with low idiosyncratic volatility yields an equal-weighted monthly return of 1.59% for bull markets but -1.29% for bear markets. These evidences support the hypothesis that investors are rewarded for betting on individual stocks during bull markets and holding more diversified portfolios during bear markets. The second essay examines the role of the limits to arbitrage in the negative effect of liquidity on subsequent stock returns. I hypothesize that if the negative effect persists because of the limits to arbitrage, the effect should be more pronounced when there are more severe limits to arbitrage. My empirical evidence supports the hypothesis. In addition, I find that the effect of the limits to arbitrage on the liquidity anomaly is not correlated to the liquidity risk.
Three Essays on Asset Pricing and Risk Management
| Author | : Zhijiang Huang |
| Publisher | : |
| Total Pages | : 127 |
| Release | : 2007 |
| Genre | : |
| ISBN | : |
Three topics are studied. Firstly, we consider a general modeling framework by assigning arbitrage-free dynamics to an admissible set of forward swap rates. Connection with graph theory allows us to graphically characterize the admissible set and determine the number of distinct admissible models. Three specifications of pratical interests, namely co-terminal, co-initial and co-sliding swap market models, are identified. In particular, ctSMM enjoys the same degreee of tractability as LMM, and we propose a fast and robuste calibration scheme for it. Secondly, we derive analytical approximations by solving the PDE mapping between implied volatility and local volatility using two methods, namely local expansion and global iteration methods. Numerical studies show that these approximations are indeed quite accurate and the best among the existing ones. Lastly, we develop an accurate and efficient scheme to compute the tail probability or VaR of a collateralized loan portfolio owned by a bank.
Essays in Asset Pricing Theory
| Author | : Alexandre Miguel de Oliveira dos Santos Baptista |
| Publisher | : |
| Total Pages | : 436 |
| Release | : 2001 |
| Genre | : |
| ISBN | : |
Essays on the Specification Testing for Dynamic Asset Pricing Models
| Author | : Jaeho Yun |
| Publisher | : |
| Total Pages | : 0 |
| Release | : 2009 |
| Genre | : |
| ISBN | : |
This dissertation consists of three essays on the subjects of specification testing on dynamic asset pricing models. In the first essay (with Yongmiao Hong), "A Simulation Test for Continuous-Time Models," we propose a simulation method to implement Hong and Li's (2005) transition density-based test for continuous-time models. The idea is to simulate a sequence of dynamic probability integral transforms, which is the key ingredient of Hong and Li's (2005) test. The proposed procedure is generally applicable whether or not the transition density of a continuous-time model has a closed form and is simple and computationally inexpensive. A Monte Carlo study shows that the proposed simulation test has very similar sizes and powers to the original Hong and Li's (2005) test. Furthermore, the performance of the simulation test is robust to the choice of the number of simulation iterations and the number of discretization steps between adjacent observations. In the second essay (with Yongmiao Hong), "A Specification Test for Stock Return Models," we propose a simulation-based specification testing method applicable to stochastic volatility models, based on Hong and Li (2005) and Johannes et al. (2008). We approximate a dynamic probability integral transform in Hong and Li' s (2005) density forecasting test, via the particle filters proposed by Johannes et al. (2008). With the proposed testing method, we conduct a comprehensive empirical study on some popular stock return models, such as the GARCH and stochastic volatility models, using the S&P 500 index returns. Our empirical analysis shows that all models are misspecified in terms of density forecast. Among models considered, however, the stochastic volatility models perform relatively well in both in- and out-of-sample. We also find that modeling the leverage effect provides a substantial improvement in the log stochastic volatility models. Our value-at-risk performance analysis results also support stochastic volatility models rather than GARCH models. In the third essay (with Yongmiao Hong), "Option Pricing and Density Forecast Performances of the Affine Jump Diffusion Models: the Role of Time-Varying Jump Risk Premia," we investigate out-of-sample option pricing and density forecast performances for the affine jump diffusion (AJD) models, using the S&P 500 stock index and the associated option contracts. In particular, we examine the role of time-varying jump risk premia in the AJD specifications. For comparison purposes, nonlinear asymmetric GARCH models are also considered. To evaluate density forecasting performances, we extend Hong and Li's (2005) specification testing method to be applicable to the famous AJD class of models, whether or not model-implied spot volatilities are available. For either case, we develop (i) the Fourier inversion of the closed-form conditional characteristic function and (ii) the Monte Carlo integration based on the particle filters proposed by Johannes et al. (2008). Our empirical analysis shows strong evidence in favor of time-varying jump risk premia in pricing cross-sectional options over time. However, for density forecasting performances, we could not find an AJD specification that successfully reconcile the dynamics implied by both time-series and options data.
