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 Much more than historical documents, the transcripts from the conferences are edited for clarity, perspective and context; material and comments from subsequent interviews with the panelists and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 Forecasting Volatility in the Financial Markets written by John L. Knight and published by Butterworth-Heinemann. This book was released on 2002 with total page 428 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text 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 modeling and forecasting techniques. It then uses a technical survey to explain the different ways to measure risk and define the different models of volatility and return.
Download or read book Stochastic Volatility in Financial Markets written by Antonio Mele and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 156 pages. Available in PDF, EPUB and Kindle. Book excerpt: Stochastic Volatility in Financial Markets presents advanced topics in financial econometrics and theoretical finance, and is divided into three main parts. The first part aims at documenting an empirical regularity of financial price changes: the occurrence of sudden and persistent changes of financial markets volatility. This phenomenon, technically termed `stochastic volatility', or `conditional heteroskedasticity', has been well known for at least 20 years; in this part, further, useful theoretical properties of conditionally heteroskedastic models are uncovered. The second part goes beyond the statistical aspects of stochastic volatility models: it constructs and uses new fully articulated, theoretically-sounded financial asset pricing models that allow for the presence of conditional heteroskedasticity. The third part shows how the inclusion of the statistical aspects of stochastic volatility in a rigorous economic scheme can be faced from an empirical standpoint.
Download or read book Financial Volatility and Real Economic Activity written by Kevin Daly and published by Routledge. This book was released on 2019-01-15 with total page 140 pages. Available in PDF, EPUB and Kindle. Book excerpt: Published in 1999. The issue of financial volatility, especially since financial deregulation, has given rise to concerns regarding the effects of increased financial volatility on real economic activity. Two issues represent a substantial challenge to financial economists with respect to these concerns. The first relates to the identification of the causes of increased volatility in financial markets. Identification is a first step towards increasing both financial economists' and policy-makers' understanding of the interrelated causes of financial volatility. The second requires linking the effects of increased financial volatility to the real sector of the economy by examining the channels through which financial volatility influences fundamental economic variables. In order to address these two issues, the analysis initially develops and estimates a model which is capable of explaining the financial and business cycle determinates of movements in the conditional volatility of the Australian All Industrials stock market index. Evidence suggests that a significant linkage exists between the conditional volatility of the money supply. Models are then developed to examine how monetary volatility is transmitted to the volatility of financial asset prices, inflation and real output in an open economy. The results indicate that while financial volatility has increased to some extent since the late 1980s, this has been transferred non-uniformly towards increasing volatility of both real and financial activity.
Download or read book Stochastic Volatility in Financial Markets written by Antonio Mele and published by . This book was released on 2000-05-01 with total page 164 pages. Available in PDF, EPUB and Kindle. Book excerpt:
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 Beast on Wall Street written by Robert A. Haugen and published by Pearson. This book was released on 1999 with total page 170 pages. Available in PDF, EPUB and Kindle. Book excerpt: It is now abundantly clear that stock volatility is a contagious disease that spreads virulently from market to market around the world. Price changes in one market drive subsequent price changes in that market as well as in others. In Beast, Haugen makes a compelling case for the fact that even under normal conditions, fully 80 percent of stock volatility is price driven. Moreover, this volatility is far from benign. It acts to reduce the level of investment spending and constitutes a significant and permanent drag on economic growth. Price-driven volatility is unstable. Dramatic and unpredictable explosions in price-driven volatility can send stock markets in a downward spiral and cause significant disruptions in economic activity. Haugen argues that this indeed happened in 1929 and 1930. If volatility in Asian markets persists, it can easily become the source of the problem rather than merely a symptom.
Download or read book Financial Market Volatility and the Implications for Market Regulation written by Louis Scott and published by . This book was released on 2006 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 on Financial Markets written by Mario Tränkle and published by . This book was released on 2012 with total page 82 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Financial Market Volatility and the Economy written by Federal Reserve Bank of Kansas City and published by . This book was released on 2001-12 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: During the 1980s, policymakers and financial market participants became increasingly concerned about the volatility of financial markets. Greater volatility in the stock, bond, and foreign exchange markets raised important public policy issues about the stability of financial markets and the impact of volatility on the economy. At the same time, savers, investors, and other participants in financial markets adopted more sophisticated ways of hedging risks caused by greater volatility.This collection of articles chosen from the pages of the Economic Review of the Federal Reserve Bank of Kansas City documents the increase in market volatility and explores its impact on the economy and the behavior of financial market participants.
Download or read book The Recent Behaviour of Financial Market Volatility written by and published by . This book was released on 2006 with total page 43 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Excessive Volatility Is Also a Feature of Individual Level Forecasts written by Anjali Nursimulu and published by . This book was released on 2017 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The excessive volatility of prices in financial markets is one of the most pressing puzzles in social science. It has led many to question economic theory, which attributes beneficial effects to markets in the allocation of risks and the aggregation of information. In exploring its causes, we investigated to what extent excessive volatility can be observed at the individual level. Economists claim that securities prices are forecasts of future outcomes. Here, we report on a simple experiment in which participants were rewarded to make the most accurate possible forecast of a canonical financial time series. We discovered excessive volatility in individual-level forecasts, paralleling the finding at the market level.Assuming that participants updated their beliefs based on reinforcement learning, we show that excess volatility emerged because of a combination of three factors. First, we found that submitted forecasts were noisy perturbations of participants' revealed beliefs. Second, beliefs were updated using a prediction error based on submitted forecast rather than revealed past beliefs. Third, in updating beliefs, participants maladaptively decreased learning speed with prediction risk. Our results reveal formerly undocumented features in individual-level forecasting that may be critical to understand the inherent instability of financial markets and inform regulatory policy.
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 Characterizing Volatility in the Financial Markets written by Jeboah Dan Joerg and published by . This book was released on 2008 with total page 72 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Application of Perturbation Methods to Modeling Correlated Defaults in Financial Markets written by and published by . This book was released on 2003 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years people have seen a rapidly growing market for credit derivatives. Among these traded credit derivatives, a growing interest has been shown on multi-name credit derivatives, whose underlying assets are a pool of defaultable securities. For a multi-name credit derivative, the key is the default dependency structure among the underlying portfolio of reference entities, instead of the individual term structure of default probabilities for each single reference entity as in the case of single-name derivative. So far, however, default dependency modeling is still the most demanding open problem in the pricing of credit derivatives. The research in this dissertation is trying to model the default dependency with aid of perturbation method, which was first proposed by Fouque, Papanicolaou and Sircar (2000) as a powerful tool to pricing options under stochastic volatility. Specifically, after a theoretic result regarding the approximation accuracy of the perturbation method and an application of this method to pricing American options under stochastic volatility by Monte Carlo approach, a multi-dimensional Merton model under stochastic volatility is studied first, and then the multi-dimensional generalization of the first-passage model under stochastic volatility comes next, which is then followed by a copula perturbed from the standard Gaussian copula.
Download or read book Application of Perturbation Methods to Modeling Correlated Defaults in Financial Markets written by Xianwen Zhou and published by . This book was released on 2006 with total page 152 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years people have seen a rapidly growing market for credit derivatives. Among these traded credit derivatives, a growing interest has been shown on multi-name credit derivatives, whose underlying assets are a pool of defaultable securities. For a multi-name credit derivative, the key is the default dependency structure among the underlying portfolio of reference entities, instead of the individual term structure of default probabilities for each single reference entity as in the case of single-name derivative. So far, however, default dependency modeling is still the most demanding open problem in the pricing of credit derivatives. The research in this dissertation is trying to model the default dependency with aid of perturbation method, which was first proposed by Fouque, Papanicolaou and Sircar (2000) as a powerful tool to pricing options under stochastic volatility. Specifically, after a theoretic result regarding the approximation accuracy of the perturbation method and an application of this method to pricing American options under stochastic volatility by Monte Carlo approach, a multi-dimensional Merton model under stochastic volatility is studied first, and then the multi-dimensional generalization of the first-passage model under stochastic volatility comes next, which is then followed by a copula perturbed from the standard Gaussian copula.
