Download or read book Jumps in the Volatility of Financial Markets written by Benoît Perron and published by Montréal : Université de Montréal, Dép. de sciences économiques. This book was released on 1999 with total page 31 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Financial Market Volatility and Jumps written by Xin Huang and published by . This book was released on 2007 with total page 185 pages. Available in PDF, EPUB and Kindle. Book excerpt: JEL classification. C1, C2, C5, C51, C52, F3, F4, G1, G14.
Download or read book The Relationship Between the Volatility of Returns and the Number of Jumps in Financial Markets written by Álvaro Cartea and published by . This book was released on 2017 with total page 25 pages. Available in PDF, EPUB and Kindle. Book excerpt: We propose a methodology to employ high frequency financial data to obtain estimates of volatility of log-prices which are not affected by microstructure noise and Lévy jumps. We introduce the 'number of jumps' as a variable to explain and predict volatility and show that the number of jumps in SPY prices is an important variable to explain the daily volatility of the SPY log-returns, has more explanatory power than other variables (e.g. high and low, open and close), and has a similar explanatory power to that of the VIX. Finally, number of jumps is very useful to forecast volatility and contains information that is not impounded in the VIX.
Download or read book Financial Modelling with Jump Processes written by Peter Tankov and published by CRC Press. This book was released on 2003-12-30 with total page 552 pages. Available in PDF, EPUB and Kindle. Book excerpt: WINNER of a Riskbook.com Best of 2004 Book Award! During the last decade, financial models based on jump processes have acquired increasing popularity in risk management and option pricing. Much has been published on the subject, but the technical nature of most papers makes them difficult for nonspecialists to understand, and the mathematic
Download or read book Realized Jumps on Financial Markets and Predicting Credit Spreads written by George Eugene Tauchen and published by . This book was released on 2006 with total page 60 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper extends the jump detection method based on bi-power variation to identify realized jumps on financial markets and to estimate parametrically the jump intensity, mean, and variance. Finite sample evidence suggests that jump parameters can be accurately estimated and that the statistical inferences can be reliable, assuming that jumps are rare and large. Applications to equity market, treasury bond, and exchange rate reveal important differences in jump frequencies and volatilities across asset classes over time. For investment grade bond spread indices, the estimated jump volatility has more forecasting power than interest rate factors and volatility factors including option-implied volatility, with control for systematic risk factors. A market jump risk factor seems to capture the low frequency movements in credit spreads.
Download or read book Market Volatility written by Robert J. Shiller and published by MIT Press. This book was released on 1992-01-30 with total page 486 pages. Available in PDF, EPUB and Kindle. Book excerpt: Market Volatility proposes an innovative theory, backed by substantial statistical evidence, on the causes of price fluctuations in speculative markets. It challenges the standard efficient markets model for explaining asset prices by emphasizing the significant role that popular opinion or psychology can play in price volatility. Why does the stock market crash from time to time? Why does real estate go in and out of booms? Why do long term borrowing rates suddenly make surprising shifts? Market Volatility represents a culmination of Shiller's research on these questions over the last dozen years. It contains reprints of major papers with new interpretive material for those unfamiliar with the issues, new papers, new surveys of relevant literature, responses to critics, data sets, and reframing of basic conclusions. Included is work authored jointly with John Y. Campbell, Karl E. Case, Sanford J. Grossman, and Jeremy J. Siegel. Market Volatility sets out basic issues relevant to all markets in which prices make movements for speculative reasons and offers detailed analyses of the stock market, the bond market, and the real estate market. It pursues the relations of these speculative prices and extends the analysis of speculative markets to macroeconomic activity in general. In studies of the October 1987 stock market crash and boom and post-boom housing markets, Market Volatility reports on research directly aimed at collecting information about popular models and interpreting the consequences of belief in those models. Shiller asserts that popular models cause people to react incorrectly to economic data and believes that changing popular models themselves contribute significantly to price movements bearing no relation to fundamental shocks.
Download or read book Volatility written by Robert A. Schwartz and published by Springer Science & Business Media. This book was released on 2010-11-18 with total page 152 pages. Available in PDF, EPUB and Kindle. Book excerpt: Volatility is very much with us in today's equity markets. Day-to-day price swings are often large and intra-day volatility elevated, especially at market openings and closings. What explains this? What does this say about the quality of our markets? Can short-period volatility be controlled by better market design and a more effective use of electronic technology? Featuring insights from an international array of prominent academics, financial markets experts, policymakers and journalists, the book addresses these and other questions concerning this timely topic. In so doing, we seek deeper knowledge of the dynamic process of price formation, and of the market structure and regulatory environment within which our markets function. The Zicklin School of Business Financial Markets Series presents the insights emerging from a sequence of conferences hosted by the Zicklin School at Baruch College for industry professionals, regulators, and scholars. Much more than historical documents, the transcripts from the conferences are edited for clarity, perspective and context; material and comments from subsequent interviews with the panelists and speakers are integrated for a complete thematic presentation. Each book is focused on a well delineated topic, but all deliver broader insights into the quality and efficiency of the U.S. equity markets and the dynamic forces changing them.
Download or read book Financial Market Volatility and the Implications for Market Regulation written by Louis O. Scott and published by International Monetary Fund. This book was released on 1990-11-01 with total page 68 pages. Available in PDF, EPUB and Kindle. Book excerpt: Volatility in financial markets has forced economists to reexamine the validity of the efficient markets hypothesis, and new empirical approaches have been applied to the study of this important issue in recent years. Many of the recent studies have found evidence of excessive volatility. In the aftermath of the stock market crash of 1987 and the perceived increase in market volatility, some economists have advocated additional market regulations. Are these proposed regulations necessary and would they serve to reduce market volatility? This paper presents a review of recent studies on financial market volatility and examines the proposed regulations.
Download or read book Volatility Modeling with Jumps written by Sergey Belousov and published by . This book was released on 2006 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: It is well known that stock returns exhibit conditional heteroskedasticity, and their distribution displays leptokurtosis. Moreover, modern financial markets are characterized by large discrete changes in asset returns. One of the most popular models describing this behavior is the GARCH-J(ump) model, where the arrival of jumps is governed by a Poisson distribution. In this paper we propose a new specification called GARCH-TJI, where the jump intensity depends on the absolute lagged return and whether it exceeds some threshold. The comparative analysis demonstrates a higher effectiveness of the GARCH-TJI model than of the GARCH-ARJI specification described in the literature.
Download or read book Forecasting Volatility in the Financial Markets written by Stephen Satchell and published by Elsevier. This book was released on 2011-02-24 with total page 428 pages. Available in PDF, EPUB and Kindle. Book excerpt: Forecasting Volatility in the Financial Markets, Third Edition assumes that the reader has a firm grounding in the key principles and methods of understanding volatility measurement and builds on that knowledge to detail cutting-edge modelling and forecasting techniques. It provides a survey of ways to measure risk and define the different models of volatility and return. Editors John Knight and Stephen Satchell have brought together an impressive array of contributors who present research from their area of specialization related to volatility forecasting. Readers with an understanding of volatility measures and risk management strategies will benefit from this collection of up-to-date chapters on the latest techniques in forecasting volatility. Chapters new to this third edition:* What good is a volatility model? Engle and Patton* Applications for portfolio variety Dan diBartolomeo* A comparison of the properties of realized variance for the FTSE 100 and FTSE 250 equity indices Rob Cornish* Volatility modeling and forecasting in finance Xiao and Aydemir* An investigation of the relative performance of GARCH models versus simple rules in forecasting volatility Thomas A. Silvey Leading thinkers present newest research on volatility forecasting International authors cover a broad array of subjects related to volatility forecasting Assumes basic knowledge of volatility, financial mathematics, and modelling
Download or read book The Changing International Transmission of Financial Shocks written by Sandra Eickmeier and published by . This book was released on 2011 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: We study the changing international transmission of US financial shocks over the period 1971-2009. Financial shocks are defined as unexpected changes of a financial conditions index (FCI), recently developed by Hatzius et al. (2010), for the US. We use a time-varying factor-augmented VAR to model the FCI jointly with a large set of macroeconomic, financial and trade variables for nine major advanced countries. The main findings are as follows. First, positive US financial shocks have a considerable positive impact on growth in the nine countries, and vice versa for negative shocks. Second, the transmission to GDP growth in European countries has increased gradually since the 1980s, consistent with financial globalization. A more marked increase is detected in the early 1980s in the US itself, consistent with changes in the conduct of monetary policy. Third, the size of US financial shocks varies strongly over time, with the g̀lobal financial crisis shock' being very large by historical standards and explaining 30 percent of the variation in GDP growth on average over all countries in 2008-2009, compared to a little less than 10 percent over the 1971-2007 period. Finally, large collapses in house prices, exports and TFP are the main drivers of the strong worldwide propagation of US financial shocks during the crisis.
Download or read book Information Shocks Jumps and Price Discovery Evidence from the U S Treasury Market written by George J. Jiang and published by . This book was released on 2008 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Macroeconomic News Announcements Systemic Risk Financial Market Volatility and Jumps written by Xin Huang and published by . This book was released on 2015 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Essays on Jumps and Common Jumps in Financial Volatility written by Yin Liao and published by . This book was released on 2011 with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt: This dissertation consists of three essays that contribute to the literature on jumps in financial volatility. Jumps have far-reaching implications for financial endeavors such as asset pricing, risk management, and portfolio allocation, and therefore it is important to document their occurrence and develop techniques and models that can be used to study their behavior. This dissertation firstly examines the different roles that jumps and the continuous component of an asset's price process can play in the forecasting of financial volatility. It then develops separate factor models for jumps and the continuous component and combines these models to generate an overall forecasting framework for multivariate financial volatility. Finally, it offers a new econometric method to test for common jumps in a panel of highfrequency financial data. This dissertation contains both theoretical and empirical contributions, and since the empirical work is based on Chinese stocks, it provides an interesting and useful analysis of jump behavior and financial volatility in an emerging market.
Download or read book Testing for Jumps and Modeling Volatility in Asset Prices written by Johan Bjursell and published by . This book was released on 2009 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: Observers of financial markets have long noted that asset prices are very volatile and commonly exhibit jumps (price spikes). Thus, the assumption of a continuous process for asset price behavior is often violated in practice. Although empirical studies have found that the impact of such jumps is transitory, the shortterm effect in the volatility may nonetheless be considerable with important financial implications for the valuation of derivatives, asset allocation and risk management. This dissertation contributes to the literature in two areas. First, I evaluate the small sample properties of a nonparametric method for identifying jumps. I focus on the implication of adding noise to the prices and recent methods developed to contend with such market frictions. Initially, I examine the properties and convergence results of the power variations that constitute the jump statistics. Then I document the asymptotic results of these jump statistics. Finally, I estimate their size and power. I examine these properties using a stochastic volatility model incorporating alternative noise and jump processes. I find that the properties of the statistics remain close to the asymptotics when methods for managing the effects of noise are applied judiciously. Improper use leads to invalid tests or tests with low power. Empirical evidence demonstrates that the nonparametric method performs well for alternative models, noise processes, and jump distributions. In the second essay, I present a study on market data from U.S. energy futures markets. I apply a nonparametric method to identify jumps in futures prices of crude oil, heating oil and natural gas contracts traded on the New York Mercantile Exchange. The sample period of the intraday data covers January 1990 to January 2008. Alternative methods such as staggered returns and optimal sampling frequency methods are used to remove the effects of microstructure noise which biases the tests against detecting jumps. I obtain several important empirical results: (i) The realized volatility of natural gas futures exceeds that of heating oil and crude oil. (ii) In these commodities, large volatility days are often associated with large jump components and large jump components are often associated with weekly announcements of inventory levels. (iii) The realized volatility and smooth volatility components in natural gas and heating oil futures are higher in winter months than in summer months. Moreover, cold weather and inventory surprises cause the volatility in natural gas and heating oil to increase during the winter season. (iv) The jump component produces a transitory surge in total volatility, and there is a strong reversal in volatility on days following a significant jump day. (v) I find that including jump and seasonal components as explanatory variables significantly improves the modeling and forecasting of the realized volatility.
Download or read book Realized Jumps on Financial Markets and Predicting Credit Spreads written by George Tauchen and published by . This book was released on 2008 with total page 44 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper extends the jump detection method based on bipower variation to identify realized jumps on financial markets and to estimate parametrically the jump intensity, mean, and variance. Finite sample evidence suggests that the jump parameters can be accurately estimated and that the statistical inferences are reliable under the assumption that jumps are rare and large. Applications to equity market, treasury bond, and exchange rate data reveal important differences in jump frequencies and volatilities across asset classes over time. For investment grade bond spread indices, the estimated jump volatility has more forecasting power than interest rate factors and volatility factors including option-implied volatility, with control for systematic risk factors. The jump volatility risk factor seems to capture the low frequency movements in credit spreads and comoves counter cyclically with the price-dividend ratio and corporate default rate.
Download or read book What Triggers Stock Market Jumps written by Scott R. Baker and published by . This book was released on 2021 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: We examine next-day newspaper accounts of large daily jumps in 16 national stock markets to assess their proximate cause, clarity as to cause, and the geographic source of the market-moving news. Our sample of 6,200 market jumps yields several findings. First, policy news - mainly associated with monetary policy and government spending - triggers a greater share of upward than downward jumps in all countries. Second, the policy share of upward jumps is inversely related to stock market performance in the preceding three months. This pattern strengthens in the postwar period. Third, market volatility is much lower after jumps triggered by monetary policy news than after other jumps, unconditionally and conditional on past volatility and other controls. Fourth, greater clarity as to jump reason also foreshadows lower volatility. Clarity in this sense has trended upwards over the past century. Finally, and excluding U.S. jumps, leading newspapers attribute one-third of jumps in their own national stock markets to developments that originate in or relate to the United States. The U.S. role in this regard dwarfs that of Europe and China.
