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Forecasting the Term Structure of Implied Volatilities

Forecasting the Term Structure of Implied Volatilities
Author: Biao Guo
Publisher:
Total Pages: 47
Release: 2015
Genre: Capital market
ISBN:

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Neumann and Skiadopoulos (2013) document that although the implied volatilities are predictable, their economic profits become insignificant once the cost is accounted for. We show that the trading strategies based on the predictability of implied volatilities could generate significant risk-adjusted returns after controlling for the transaction cost. The implied volatility curve information is useful for the out-of-sample forecast of implied volatilities up to one week. Short-maturity implied volatilities tend to be more predictable than longmaturity implied volatilities. Although the long-maturity options are much less traded than the short-maturity options, their implied volatilities provide much more information on the price discovery.


The Implied Volatility Term Structure of Stock Index Options

The Implied Volatility Term Structure of Stock Index Options
Author: Scott Mixon
Publisher:
Total Pages:
Release: 2000
Genre:
ISBN:

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This paper tests the expectations hypothesis of the term structure of implied volatility for several national stock market indices (Samp;P 500, FTSE 100, DAX, CAC, and Nikkei 225). The tests indicate that the slope of at-the-money implied volatility over different maturities has predictive ability for future short dated implied volatility, although not to the extent predicted by the expectations hypothesis. Equivalently, the forward implied volatility is a biased forecast of future implied volatility. The low forecast power may be due to a failure to control for a risk premium in the prices of options. Evidence is presented that a time varying risk premium that increases in volatility is consistent with the results. Including a volatility risk proxy in the specification improves the forecasting ability beyond that embedded in the implied volatility term structure.


How Important is the Term Structure in Implied Volatility Surface Modeling? Evidence from Foreign Exchange Options

How Important is the Term Structure in Implied Volatility Surface Modeling? Evidence from Foreign Exchange Options
Author: George Chalamandaris
Publisher:
Total Pages: 40
Release: 2013
Genre:
ISBN:

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We claim that previously proposed parametric specifications that linearly approximate the term structure of the implied volatility surface (IVS) in option prices fail to capture important information regarding the expectations of market participants. This paper proposes a parametric specification for describing the IVS that allows flexible modeling of the term structure through a Nelson and Siegel (1987) factorization, recently proposed by Diebold and Li (2006) in the context of yield curve modeling. The specification is tested on implied volatilities from the overndash;thendash;counter foreign exchange options market, where contracts with long expiries are actively traded and thus the term structure dimension of the surface should be very important. We first show that the proposed volatility specification can consistently and remarkably improve our ability to describe the surface on any given day. We then establish the economic relevance of the incremental information captured by our proposed specification by showing that it can produce more accurate forecasts of implied volatility that can support longndash;term profitable trading strategies in the absence of transaction costs.


Volatility Surface and Term Structure

Volatility Surface and Term Structure
Author: Kin Keung Lai
Publisher: Routledge
Total Pages: 102
Release: 2013-09-11
Genre: Business & Economics
ISBN: 1135006997

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This book provides different financial models based on options to predict underlying asset price and design the risk hedging strategies. Authors of the book have made theoretical innovation to these models to enable the models to be applicable to real market. The book also introduces risk management and hedging strategies based on different criterions. These strategies provide practical guide for real option trading. This book studies the classical stochastic volatility and deterministic volatility models. For the former, the classical Heston model is integrated with volatility term structure. The correlation of Heston model is considered to be variable. For the latter, the local volatility model is improved from experience of financial practice. The improved local volatility surface is then used for price forecasting. VaR and CVaR are employed as standard criterions for risk management. The options trading strategies are also designed combining different types of options and they have been proven to be profitable in real market. This book is a combination of theory and practice. Users will find the applications of these financial models in real market to be effective and efficient.


Handbook of Financial Econometrics and Statistics

Handbook of Financial Econometrics and Statistics
Author: Cheng-Few Lee
Publisher: Springer
Total Pages: 0
Release: 2014-09-28
Genre: Business & Economics
ISBN: 9781461477495

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​The Handbook of Financial Econometrics and Statistics provides, in four volumes and over 100 chapters, a comprehensive overview of the primary methodologies in econometrics and statistics as applied to financial research. Including overviews of key concepts by the editors and in-depth contributions from leading scholars around the world, the Handbook is the definitive resource for both classic and cutting-edge theories, policies, and analytical techniques in the field. Volume 1 (Parts I and II) covers all of the essential theoretical and empirical approaches. Volumes 2, 3, and 4 feature contributed entries that showcase the application of financial econometrics and statistics to such topics as asset pricing, investment and portfolio research, option pricing, mutual funds, and financial accounting research. Throughout, the Handbook offers illustrative case examples and applications, worked equations, and extensive references, and includes both subject and author indices.​


Term Structure Forecasts of Volatility and Option Portfolio Returns

Term Structure Forecasts of Volatility and Option Portfolio Returns
Author: Jim Campasano
Publisher:
Total Pages: 41
Release: 2018
Genre:
ISBN:

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I examine the predictability of equity implied volatility from the term structure, and find that forward volatility levels are biased predictors of future spot implied volatility. I construct options structures which proxy for forward volatility assets, and show that a long-short portfolio of forward volatility assets produce significantly profitable returns. As the construction of the trade is borne from a violation of an expectations hypothesis, the strategy is similar to the carry trade effected in foreign exchange and other assets. Unlike the returns to carry in foreign exchange and other assets, the forward volatility assets are not exposed to liquidity or volatility risks and negatively loads on market risk.


Option Volatility & Pricing: Advanced Trading Strategies and Techniques

Option Volatility & Pricing: Advanced Trading Strategies and Techniques
Author: Sheldon Natenberg
Publisher: McGraw Hill Professional
Total Pages: 485
Release: 1994-08
Genre: Business & Economics
ISBN: 155738486X

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Provides a thorough discussion of volatility, the most important aspect of options trading. Shows how to identify mispriced options and to construct volatility and "delta neutral" spreads.


Forecasting Volatility in the Financial Markets

Forecasting Volatility in the Financial Markets
Author: John L. Knight
Publisher: Butterworth-Heinemann
Total Pages: 428
Release: 2002
Genre: Business & Economics
ISBN: 9780750655156

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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.