Read Books Online and Download eBooks, EPub, PDF, Mobi, Kindle, Text Full Free.
Download Forecasting Volatility Of Futures Prices full books in PDF, epub, and Kindle. Read online Forecasting Volatility Of Futures Prices ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Author : Albert Alexander Williams
Publisher :
ISBN 13 :
Total Pages : 336 pages
Book Rating : 4.:/5 (33 download)
Download or read book Forecasting Volatility of Futures Prices written by Albert Alexander Williams and published by . This book was released on 1994 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Mr.Manmohan S. Kumar
Publisher : International Monetary Fund
ISBN 13 : 1451951116
Total Pages : 54 pages
Book Rating : 4.4/5 (519 download)
Download or read book Forecasting Accuracy of Crude Oil Futures Prices written by Mr.Manmohan S. Kumar and published by International Monetary Fund. This book was released on 1991-10-01 with total page 54 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper undertakes an investigation into the efficiency of the crude oil futures market and the forecasting accuracy of futures prices. Efficiency of the market is analysed in terms of the expected excess returns to speculation in the futures market. Accuracy of futures prices is compared with that of forecasts using alternative techniques, including time series and econometric models, as well as judgemental forecasts. The paper also explores the predictive power of futures prices by comparing the forecasting accuracy of end-of-month prices with weekly and monthly averages, using a variety of different weighting schemes. Finally, the paper investigates whether the forecasts from using futures prices can be improved by incorporating information from other forecasting techniques.
Author : Dexiang Mei
Publisher : Scientific Research Publishing, Inc. USA
ISBN 13 : 164997048X
Total Pages : 139 pages
Book Rating : 4.6/5 (499 download)
Download or read book Forecasting the Volatility of Stock Market and Oil Futures Market written by Dexiang Mei and published by Scientific Research Publishing, Inc. USA. This book was released on 2020-12-17 with total page 139 pages. Available in PDF, EPUB and Kindle. Book excerpt: The volatility has been one of the cores of the financial theory research, in addition to the stock markets and the futures market are an important part of modern financial markets. Forecast volatility of the stock market and oil futures market is an important part of the theory of financial markets research.
Author : Guillermo Benavides
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (137 download)
Download or read book Price Volatility Forecasts for Agricultural Commodities written by Guillermo Benavides and published by . This book was released on 2008 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: There has been substantial research effort aimed to forecast futures price return volatilities of financial and commodity assets. Some part of this research focuses on the performance of time-series models (in particular ARCH models) versus option implied volatility models. A significant part of the literature related to this topic shows that volatility forecast accuracy is not easy to estimate regardless of the forecasting model applied. This paper examines the volatility accuracy of volatility forecast models for the case of corn and wheat futures price returns. The models applied here are a univariate GARCH, a multivariate ARCH (the BEKK model), an option implied and a composite forecast model. The composite model includes time-series (historical) and option implied volatility forecasts. The results show that the option implied model is superior to the historical models in terms of accuracy and that the composite forecast model was the most accurate one (compared to the alternative models) having the lowest mean-square-errors. Given these findings it is recommended to use a composite forecast model if both types of data are available i.e. the time-series (historical) and the option implied. In addition, the results of this paper are consistent to that part of the literature that emphasizes the difficulty on being accurate about forecasting asset price return volatility. This is because the explanatory power (coefficient of determination) calculated in the forecast regressions were relatively low.
Author : Stephen Satchell
Publisher : Elsevier
ISBN 13 : 0080471420
Total Pages : 428 pages
Book Rating : 4.0/5 (84 download)
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
Author : Jau-Lian Jeng
Publisher :
ISBN 13 :
Total Pages : 354 pages
Book Rating : 4.:/5 (318 download)
Download or read book The Volatility of Futures Prices written by Jau-Lian Jeng and published by . This book was released on 1991 with total page 354 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : John L. Knight
Publisher : Butterworth-Heinemann
ISBN 13 : 9780750655156
Total Pages : 428 pages
Book Rating : 4.6/5 (551 download)
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.
Author : Srinivasan Kaliyaperumal
Publisher : GRIN Verlag
ISBN 13 : 3668659958
Total Pages : 144 pages
Book Rating : 4.6/5 (686 download)
Download or read book An Analysis of Price Volatility, Trading Volume and Market Depth of Stock Futures Market in India written by Srinivasan Kaliyaperumal and published by GRIN Verlag. This book was released on 2018-03-13 with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt: Project Report from the year 2010 in the subject Business economics - Investment and Finance, , course: Ph. D, language: English, abstract: Every modern economy is based on a sound financial system and acts as a monetary channel for productive purpose with effecting economic growth. It encourages saving habit by throwing open and plethora of instrument avenues suiting to the individuals requirements, mobilizing savings from households and other segments and allocating savings into productive usage such as trade, commerce, manufacture etc. Thus a financial system can also be understood as institutional arrangements, through which financial surpluses are mobilized from the units generating surplus income and transferring them to the others in need of them. In nutshell, financial market, financial assets, financial services and financial institutions constitute the financial system. The activities include exchange and holding of financial assets or instruments of different kinds of financial institutions, banks and other intermediaries of the market. Financial markets provide channels for allocation of savings to investment and provide variety of assets to savers in various forms in which the investors can park their funds. At the same time, financial market is one that integral part of the financial system which makes significant contribution to the countries’ economic development. It establishes a link between the demand and supply of long-term capital funds. The economic strength of a country depends squarely on the state of financial market, apart from the productive potential of the country. The efficient allocation of fund by the capital market depends on the state of capital market. All the countries therefore focus more on the functioning of the capital market. Indian financial market has faced many challenges in the process of effecting more efficient allocation and mobilization of capital. It has attained a remarkable degree of growth in the last decade and in continuing to achieve the same in current decade also. Opening up of the economy and adoption of the liberalized economic policies have driven our economy more towards the free market. Over the last few years, financial markets, more specifically the security market were experiencing a lot of structural and regulatory changes. The major constituents of financial market are money market and the capital market catering to the type of capital requirements.
Author : Guillermo Benavides
Publisher :
ISBN 13 :
Total Pages : 49 pages
Book Rating : 4.:/5 (129 download)
Download or read book Forecasting Short-Run Inflation Volatility Using Futures Prices written by Guillermo Benavides and published by . This book was released on 2006 with total page 49 pages. Available in PDF, EPUB and Kindle. Book excerpt: The use of non-linear models to accurately estimate the Value at Risk (VaR) of financial portfolios is increasing. Specifically, the use of Autoregressive Conditional Heteroscedasticity (ARCH) models, which can forecast the time-varying volatility of a financial asset. In this research paper ARCH-type models are applied in order to estimate the VaR of an inflation-index futures portfolio for several time-horizons. The empirical analysis is carried out for Mexican inflation-indexed futures traded at the Mexican Derivatives Exchange (MEXDER). To analyse the VaR with time horizons of more than one trading day bootstrapping simulations were applied. The results show that these models are relatively accurate for time horizons of one trading day. However, the volatility persistence of ARCH-type models is reflected with relatively high VaR estimates for longer time horizons. This is considered undesirable given that an unnecessary amount of capital must be set aside in order to meet Minimum Capital Risk Requirements for a futures portfolio. However, when the ARCH-type specifications include a variable for volatility persistence the predictions are more accurate for time horizons up to ten trading days. These results have implications for short-term inflation forecasts. By estimating confidence intervals in the VaR, it is possible to have certain confidence about the future range of inflation (or extreme inflation values) for a specified time horizon. For this study time horizons from one trading day up to three months were considered.
Author : Isabelle Piot-Lepetit
Publisher : Springer Science & Business Media
ISBN 13 : 1441976345
Total Pages : 238 pages
Book Rating : 4.4/5 (419 download)
Download or read book Methods to Analyse Agricultural Commodity Price Volatility written by Isabelle Piot-Lepetit and published by Springer Science & Business Media. This book was released on 2011-06-10 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book examines the issue of price volatility in agricultural commodities markets and how this phenomenon has evolved in recent years. The factors underlying the price spike of 2007-08 appear to be global and macroeconomic in nature, including the rapid growth in demand by developing countries, the international financial crisis, and exchange rate movements. Some of these factors are new, appearing as influences on price volatility only in the last decade. Although volatility has always been a feature of agricultural commodity markets, the evidence suggests that volatility has increased in certain commodity markets. A growing problem is that agricultural price shocks and volatility disrupt agricultural markets, economic incentives and incomes. With increased globalization and integration of financial and energy markets with agricultural commodity markets, the relationships between markets are expanding and becoming more complex. When a crisis such as a regional drought, food safety scare or a financial crisis hits a particular market, policy-makers often do not know the extent to which it will impact on other markets and affect producer, consumer and trader decisions. Including contributions from experts at the World Bank, the Food and Agriculture Organization of the United Nations, the USDA, and the European Commission, the research developed throughout the chapters of this book is based on current methodologies that can be used to analyze price volatility and provide directions for understanding this volatility and the development of new agricultural policies. The book highlights the challenges facing policy makers in dealing with the changing nature of agricultural commodities markets, and offers recommendations for anticipating price movements and managing their consequences. It will be a practical guide for both present and future policy-makers in deciding on potential price-stabilizing interventions, and will also serve as a useful resource for researchers and students in agricultural economics.
Author : Stephen J. Taylor
Publisher : Princeton University Press
ISBN 13 : 1400839254
Total Pages : 544 pages
Book Rating : 4.4/5 (8 download)
Download or read book Asset Price Dynamics, Volatility, and Prediction written by Stephen J. Taylor and published by Princeton University Press. This book was released on 2011-02-11 with total page 544 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book shows how current and recent market prices convey information about the probability distributions that govern future prices. Moving beyond purely theoretical models, Stephen Taylor applies methods supported by empirical research of equity and foreign exchange markets to show how daily and more frequent asset prices, and the prices of option contracts, can be used to construct and assess predictions about future prices, their volatility, and their probability distributions. Stephen Taylor provides a comprehensive introduction to the dynamic behavior of asset prices, relying on finance theory and statistical evidence. He uses stochastic processes to define mathematical models for price dynamics, but with less mathematics than in alternative texts. The key topics covered include random walk tests, trading rules, ARCH models, stochastic volatility models, high-frequency datasets, and the information that option prices imply about volatility and distributions. Asset Price Dynamics, Volatility, and Prediction is ideal for students of economics, finance, and mathematics who are studying financial econometrics, and will enable researchers to identify and apply appropriate models and methods. It will likewise be a valuable resource for quantitative analysts, fund managers, risk managers, and investors who seek realistic expectations about future asset prices and the risks to which they are exposed.
Author : Anthony F. Herbst
Publisher : Dissertation.com
ISBN 13 : 9780595142996
Total Pages : 0 pages
Book Rating : 4.1/5 (429 download)
Download or read book Analyzing and Forecasting Futures Prices written by Anthony F. Herbst and published by Dissertation.com. This book was released on 2000-12 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Analyzing & Forecasting Future Prices is an advanced and highly practical guide to the latest methods of analyzing and predicting futures prices and applying them to hedging and speculation. Requires minimal mathematics.
Author : Stephen J. Taylor
Publisher : World Scientific
ISBN 13 : 9812770852
Total Pages : 297 pages
Book Rating : 4.8/5 (127 download)
Download or read book Modelling Financial Time Series written by Stephen J. Taylor and published by World Scientific. This book was released on 2008 with total page 297 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains several innovative models for the prices of financial assets. First published in 1986, it is a classic text in the area of financial econometrics. It presents ARCH and stochastic volatility models that are often used and cited in academic research and are applied by quantitative analysts in many banks. Another often-cited contribution of the first edition is the documentation of statistical characteristics of financial returns, which are referred to as stylized facts. This second edition takes into account the remarkable progress made by empirical researchers during the past two decades from 1986 to 2006. In the new Preface, the author summarizes this progress in two key areas: firstly, measuring, modelling and forecasting volatility; and secondly, detecting and exploiting price trends. Sample Chapter(s). Chapter 1: Introduction (1,134 KB). Contents: Features of Financial Returns; Modelling Price Volatility; Forecasting Standard Deviations; The Accuracy of Autocorrelation Estimates; Testing the Random Walk Hypothesis; Forecasting Trends in Prices; Evidence Against the Efficiency of Futures Markets; Valuing Options; Appendix: A Computer Program for Modelling Financial Time Series. Readership: Academic researchers in finance & economics; quantitative analysts.
Author : Maurice Wilkinson
Publisher :
ISBN 13 :
Total Pages : 32 pages
Book Rating : 4.0/5 ( download)
Download or read book Futures Prices as Embedded Forecasts written by Maurice Wilkinson and published by . This book was released on 1985 with total page 32 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Mark Watson
Publisher : Oxford University Press
ISBN 13 : 0199549494
Total Pages : 432 pages
Book Rating : 4.1/5 (995 download)
Download or read book Volatility and Time Series Econometrics written by Mark Watson and published by Oxford University Press. This book was released on 2010-02-11 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: A volume that celebrates and develops the work of Nobel Laureate Robert Engle, it includes original contributions from some of the world's leading econometricians that further Engle's work in time series economics
Author : Mohammad Najand
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (129 download)
Download or read book Forecasting Stock Index Futures Price Volatility written by Mohammad Najand and published by . This book was released on 2002 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The study examines the relative ability of various models to forecast daily stock index futures volatility. The forecasting models that are employed range from naive models to the relatively complex ARCH-class models. It is found that among linear models of stock index futures volatility, the autoregressive model ranks first using the RMSE and MAPE criteria. We also examine three nonlinear models. These models are GARCH-M, EGARCH, and ESTAR. We find that nonlinear GARCH models dominate linear models utilizing the RMSE and the MAPE error statistics and EGARCH appears to be the best model for forecasting stock index futures price volatility.
Author : Mario Amado Ortez Amador
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (91 download)
Download or read book Forecasting Volatility in Agricultural Commodities Markets Considering Market Structural Breaks written by Mario Amado Ortez Amador and published by . This book was released on 2015 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This decade has seen movements in commodity futures markets never seen before. There are many factors that have intensified price movements and volatility behavior. Those factors likely altering supply and demand include governmental policy within and outside of the U.S, weather shocks, geopolitical conflicts, food safety concerns etc. Whatever the reasons are for price movements it is clear that the volatility behavior in commodity markets constantly change, and risk managers need to use current and efficient tools to mitigate price risk. This study identified market structural breaks of realized volatility in corn, wheat, soybeans, live cattle, feeder cattle and lean hogs futures markets. Furthermore, this study analyzes the forecasting performance of implied volatility, historical volatility, a composite approach and a naive approach as forecasters of realized volatility. The forecasting performance of these methods was analyzed in the full period of time of our weekly data from January 1995 to April 2014 and in each identified market regime for each commodity. Previous research has analyzed forecasting performance of implied volatility, a time series alternative and a composite method. However, to the best of my knowledge, they have not worried about market structural breaks in the data that might influence the performance of the mentioned forecasting methods in different periods of time. Overall, results indicate that indeed there are multiple market structural breaks present in the volatility datasets across all six commodities. We found differences in the forecasting performance of the analyzed methods when individual market regimes were analyzed. There seems to be evidence that corroborates the idea in the literature about the superiority of implied volatility over a historical volatility, a composite approach and a naive approach. Additionally, implied volatility encompassed all the information contained in the historical volatility and the naive measure across each identified market regime in all six commodities. Our results show that when both implied volatility and historical volatility are available, the benefit of combining those measures into a composite forecasting approach is very limited. Our results hold true for a short term 1 week ahead realized volatility forecast. It would be of interest to see how results vary for longer forecasting time horizons.
