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A Markov-Switching Equilibrium Correction Model for Intraday Futures and Stock Index Returns

A Markov-Switching Equilibrium Correction Model for Intraday Futures and Stock Index Returns
Author: Xavier Giroud
Publisher:
Total Pages:
Release: 2004
Genre:
ISBN:

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A considerable literature in market microstructure has analyzed the information flows between stock index futures and spot markets. Most of those studies estimate deviations from the cost-of-carry model within the framework of vector equilibrium correction models (VECM). The typical finding is that futures prices lead spot prices and are the primary source of price discovery. Purely linear models can, however, lead to fallacious or at least incomplete inference in the presence of significant nonlinearities in the return generating process. Recent research has reported evidence for nonlinearity in the distribution of stock market returns. According to this literature, their empirical distribution can be characterized by a mixture of normal distributions whose dependence is well described by a hidden Markov chain. This thesis contributes to the former field by allowing for Markovian regime switches in the cointegrated system. The empirical analysis is carried out using high-frequency data for the German and Swiss markets, i.e. two closely interrelated markets which differ substantially in terms of liquidity. This thesis consists of three major parts. In the first part, an MS-VECM is estimated for each market and tested against the linear VECM. In both cases, the linear model is strongly rejected. The Markovian chain consists of three regimes, which can be well described in terms of volatility. Price discovery differs from regime to regime, but the overall evidence is consistent with the well-documented leading role of futures markets. The MS-VECM provides additional insights into the dynamics of price discovery. Interestingly, shocks are absorbed more rapidly in regimes of high volatility. A possible explanation is provided, based on trading activity. Intraday volatility is shown to be associated with the volume of trading. Heavy trading reveals more information per unit of time and thus improves index arbitrage and informational.


An Explanation of Efficient Market Hypothesis and Unbiasedness Using Markov Switching Framework

An Explanation of Efficient Market Hypothesis and Unbiasedness Using Markov Switching Framework
Author: Prasad S. Bhattacharya
Publisher:
Total Pages: 36
Release: 2007
Genre:
ISBN:

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This paper uses Indian stock futures data to explore efficient market hypothesis and unbiasedness. Having experienced voluminous transactions within a short time span after its establishment, the Indian stock futures market provides an unparalleled case for exploring these issues involving expectation and efficiency. Besides analyzing efficiency hypothesis and unbiasedness of stock futures market using cointegration and error correction model, the degree of efficiency is further investigated after explicitly modeling the underlying state of the market (expansion or contraction) through the first-order Markov switching set-up. The results based on Markov switching analysis show that relatively longer time horizon is more effective in eliminating arbitrage opportunities than the short run.


Handbook of Financial Time Series

Handbook of Financial Time Series
Author: Torben Gustav Andersen
Publisher: Springer Science & Business Media
Total Pages: 1045
Release: 2009-04-21
Genre: Business & Economics
ISBN: 3540712976

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The Handbook of Financial Time Series gives an up-to-date overview of the field and covers all relevant topics both from a statistical and an econometrical point of view. There are many fine contributions, and a preamble by Nobel Prize winner Robert F. Engle.


Bayesian Arbitrage Threshold Analysis

Bayesian Arbitrage Threshold Analysis
Author: Catherine M. Scipione
Publisher:
Total Pages: 25
Release: 1997
Genre: Arbitrage
ISBN: 9780732610265

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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.​


Volatility

Volatility
Author: Robert A. Jarrow
Publisher:
Total Pages: 472
Release: 1998
Genre: Derivative securities
ISBN:

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Written by a number of authors, this text is aimed at market practitioners and applies the latest stochastic volatility research findings to the analysis of stock prices. It includes commentary and analysis based on real-life situations.


Volatility and Correlation

Volatility and Correlation
Author: Riccardo Rebonato
Publisher: John Wiley & Sons
Total Pages: 864
Release: 2005-07-08
Genre: Business & Economics
ISBN: 0470091401

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In Volatility and Correlation 2nd edition: The Perfect Hedger and the Fox, Rebonato looks at derivatives pricing from the angle of volatility and correlation. With both practical and theoretical applications, this is a thorough update of the highly successful Volatility & Correlation – with over 80% new or fully reworked material and is a must have both for practitioners and for students. The new and updated material includes a critical examination of the ‘perfect-replication’ approach to derivatives pricing, with special attention given to exotic options; a thorough analysis of the role of quadratic variation in derivatives pricing and hedging; a discussion of the informational efficiency of markets in commonly-used calibration and hedging practices. Treatment of new models including Variance Gamma, displaced diffusion, stochastic volatility for interest-rate smiles and equity/FX options. The book is split into four parts. Part I deals with a Black world without smiles, sets out the author’s ‘philosophical’ approach and covers deterministic volatility. Part II looks at smiles in equity and FX worlds. It begins with a review of relevant empirical information about smiles, and provides coverage of local-stochastic-volatility, general-stochastic-volatility, jump-diffusion and Variance-Gamma processes. Part II concludes with an important chapter that discusses if and to what extent one can dispense with an explicit specification of a model, and can directly prescribe the dynamics of the smile surface. Part III focusses on interest rates when the volatility is deterministic. Part IV extends this setting in order to account for smiles in a financially motivated and computationally tractable manner. In this final part the author deals with CEV processes, with diffusive stochastic volatility and with Markov-chain processes. Praise for the First Edition: “In this book, Dr Rebonato brings his penetrating eye to bear on option pricing and hedging.... The book is a must-read for those who already know the basics of options and are looking for an edge in applying the more sophisticated approaches that have recently been developed.” —Professor Ian Cooper, London Business School “Volatility and correlation are at the very core of all option pricing and hedging. In this book, Riccardo Rebonato presents the subject in his characteristically elegant and simple fashion...A rare combination of intellectual insight and practical common sense.” —Anthony Neuberger, London Business School


Artificial Intelligence in Asset Management

Artificial Intelligence in Asset Management
Author: Söhnke M. Bartram
Publisher: CFA Institute Research Foundation
Total Pages: 95
Release: 2020-08-28
Genre: Business & Economics
ISBN: 195292703X

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Artificial intelligence (AI) has grown in presence in asset management and has revolutionized the sector in many ways. It has improved portfolio management, trading, and risk management practices by increasing efficiency, accuracy, and compliance. In particular, AI techniques help construct portfolios based on more accurate risk and return forecasts and more complex constraints. Trading algorithms use AI to devise novel trading signals and execute trades with lower transaction costs. AI also improves risk modeling and forecasting by generating insights from new data sources. Finally, robo-advisors owe a large part of their success to AI techniques. Yet the use of AI can also create new risks and challenges, such as those resulting from model opacity, complexity, and reliance on data integrity.


Efficiency and Anomalies in Stock Markets

Efficiency and Anomalies in Stock Markets
Author: Wing-Keung Wong
Publisher: Mdpi AG
Total Pages: 232
Release: 2022-02-17
Genre: Business & Economics
ISBN: 9783036530802

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The Efficient Market Hypothesis believes that it is impossible for an investor to outperform the market because all available information is already built into stock prices. However, some anomalies could persist in stock markets while some other anomalies could appear, disappear and re-appear again without any warning. A Special Issue on "Efficiency and Anomalies in Stock Markets" will be devoted to advancements in the theoretical development of market efficiency and anomaly in the Stock Market, as well as applications in Stock Market efficiency and anomalies.