Information Content of Implied Probability Distributions

Information Content of Implied Probability Distributions PDF Author: Shigenori Shiratsuka
Publisher:
ISBN:
Category : Assets (Accounting)
Languages : en
Pages : 56

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Book Description

Information Content of Implied Probability Distributions

Information Content of Implied Probability Distributions PDF Author: Shigenori Shiratsuka
Publisher:
ISBN:
Category : Assets (Accounting)
Languages : en
Pages : 56

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Book Description


Summary Statistics of Implied Probability Density Functions and Their Properties

Summary Statistics of Implied Probability Density Functions and Their Properties PDF Author: Damien P.G. Lynch
Publisher:
ISBN:
Category :
Languages : en
Pages : 61

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Book Description
The statistics that summarise the probability distributions implied from option prices can be used to assess market expectations about future uncertainty, asymmetry and the probability of extreme movements in asset prices. This paper considers implied pdfs with a constant horizon of three months for Samp;P 500, FTSE 100, eurodollar and short-sterling. A time series analysis of the summary statistics provides some stylised facts about the behaviour of different elements of market expectations, their historical distribution and the relationships between them. The distributions of these measures provide information on past revisions to market expectations including the relative likelihood of upward rather than downward revisions and the extent to which these revisions were large. The similarity and relative stability of alternative measures for each element of market expectations is assessed to select a subset of summary statistics that can sufficiently reflect the information contained in the implied pdfs. Relationships between implied pdf summary statistics and movements in underlying assets are considered. Cross asset and cross country comparisons between the summary statistics series are also useful in revealing relations and/or associations between market participants' expectations about equity price and interest rate movements. Finally the information content of the implied pdfs for future macroeconomic and financial variables is assessed.

Summary Statistics of Implied Probability Density Functions

Summary Statistics of Implied Probability Density Functions PDF Author: Damien P.G. Lynch
Publisher:
ISBN:
Category :
Languages : en
Pages : 57

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Book Description
The statistics that summarise the probability distributions implied from option prices can be used to assess market expectations about future uncertainty, asymmetry and the probability of extreme movements in asset prices. This paper considers implied pdfs with a constant horizon of three months for Samp;P 500, FTSE 100, eurodollar and short-sterling. A time series analysis of the summary statistics provides some stylised facts about the behaviour of different elements of market expectations, their historical distribution and the relationships between them. The distributions of these measures provide information on past revisions to market expectations including the relative likelihood of upward rather than downward revisions and the extent to which these revisions were large. The similarity and relative stability of alternative measures for each element of market expectations is assessed to select a subset of summary statistics that can sufficiently reflect the information contained in the implied pdfs. Relationships between implied pdf summary statistics and movements in underlying assets are considered. Cross asset and cross country comparisons between the summary statistics series are also useful in revealing relations and/or associations between market participants' expectations about equity price and interest rate movements. Finally the information content of the implied pdfs for future macroeconomic and financial variables is assessed.

Option-Implied Risk-Neutral Distributions and Risk Aversion

Option-Implied Risk-Neutral Distributions and Risk Aversion PDF Author: Jens Carsten Jackwerth
Publisher:
ISBN:
Category :
Languages : en
Pages :

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Book Description


Computational Methods in Financial Engineering

Computational Methods in Financial Engineering PDF Author: Erricos Kontoghiorghes
Publisher: Springer Science & Business Media
ISBN: 3540779582
Category : Business & Economics
Languages : en
Pages : 425

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Book Description
Computational models and methods are central to the analysis of economic and financial decisions. Simulation and optimisation are widely used as tools of analysis, modelling and testing. The focus of this book is the development of computational methods and analytical models in financial engineering that rely on computation. The book contains eighteen chapters written by leading researchers in the area on portfolio optimization and option pricing; estimation and classification; banking; risk and macroeconomic modelling. It explores and brings together current research tools and will be of interest to researchers, analysts and practitioners in policy and investment decisions in economics and finance.

Forecasting Volatility in the Financial Markets

Forecasting Volatility in the Financial Markets PDF Author: John L. Knight
Publisher: Butterworth-Heinemann
ISBN: 9780750655156
Category : Business & Economics
Languages : en
Pages : 428

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Book Description
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.

The Tails of Option-Implied Probability Distributions

The Tails of Option-Implied Probability Distributions PDF Author: Jordan B. Zimbelman
Publisher:
ISBN:
Category :
Languages : en
Pages : 0

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Book Description


Forecasting Volatility in the Financial Markets

Forecasting Volatility in the Financial Markets PDF Author: Stephen Satchell
Publisher: Elsevier
ISBN: 0080471420
Category : Business & Economics
Languages : en
Pages : 428

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Book Description
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

Handbook of Economic Forecasting

Handbook of Economic Forecasting PDF Author: Graham Elliott
Publisher: Newnes
ISBN: 0444536841
Category : Business & Economics
Languages : en
Pages : 719

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Book Description
The highly prized ability to make financial plans with some certainty about the future comes from the core fields of economics. In recent years the availability of more data, analytical tools of greater precision, and ex post studies of business decisions have increased demand for information about economic forecasting. Volumes 2A and 2B, which follows Nobel laureate Clive Granger's Volume 1 (2006), concentrate on two major subjects. Volume 2A covers innovations in methodologies, specifically macroforecasting and forecasting financial variables. Volume 2B investigates commercial applications, with sections on forecasters' objectives and methodologies. Experts provide surveys of a large range of literature scattered across applied and theoretical statistics journals as well as econometrics and empirical economics journals. The Handbook of Economic Forecasting Volumes 2A and 2B provide a unique compilation of chapters giving a coherent overview of forecasting theory and applications in one place and with up-to-date accounts of all major conceptual issues. Focuses on innovation in economic forecasting via industry applications Presents coherent summaries of subjects in economic forecasting that stretch from methodologies to applications Makes details about economic forecasting accessible to scholars in fields outside economics

Copulae and Multivariate Probability Distributions in Finance

Copulae and Multivariate Probability Distributions in Finance PDF Author: Alexandra Dias
Publisher: Routledge
ISBN: 1317976916
Category : Business & Economics
Languages : en
Pages : 206

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Book Description
Portfolio theory and much of asset pricing, as well as many empirical applications, depend on the use of multivariate probability distributions to describe asset returns. Traditionally, this has meant the multivariate normal (or Gaussian) distribution. More recently, theoretical and empirical work in financial economics has employed the multivariate Student (and other) distributions which are members of the elliptically symmetric class. There is also a growing body of work which is based on skew-elliptical distributions. These probability models all exhibit the property that the marginal distributions differ only by location and scale parameters or are restrictive in other respects. Very often, such models are not supported by the empirical evidence that the marginal distributions of asset returns can differ markedly. Copula theory is a branch of statistics which provides powerful methods to overcome these shortcomings. This book provides a synthesis of the latest research in the area of copulae as applied to finance and related subjects such as insurance. Multivariate non-Gaussian dependence is a fact of life for many problems in financial econometrics. This book describes the state of the art in tools required to deal with these observed features of financial data. This book was originally published as a special issue of the European Journal of Finance.