Term Structure of Interest Rates with Regime Shifts
Author: Ravi Bansal
Publisher:
Published: 2001
Total Pages: 70
ISBN-13:
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Fiscal Policy, Public Debt and the Term Structure of Interest Rates
Author: Roland Demmel
Publisher: Springer Science & Business Media
Published: 2012-12-06
Total Pages: 284
ISBN-13: 3642585957
DOWNLOAD EBOOKThe introduction of the thesis consists of four parts: first, we motivate our chosen macroeconomic setting by looking at some real world phenomena. For a better understanding of these phenomena, we argue that the mutual dynamic interactions between flScal policy and financial markets need to be closely examined in a macroeconomic framework. Second, we review different strands of the economic literature in order to show that most of the literature has so far exclusively concentrated either on fmancial market dynamics or on flScal policy issues. We conclude that a more integrated model setting is called for in order to explain the dynamic interactions observed in reality. Third, we discuss at length the economic assumptions underlying our model. This avoids multiple repetition later on. Finally, we outline the structure of the thesis and the objectives we pursue in the different chapters. 1. 1 Motivation Fiscal policy and financial market reactions are increasingly receiving world wide attention. The most recent examples are the Maastricht criteria about flScal control, the South-East Asia financial crisis and the resulting IMF policy stance, the high level of public debt in developed and developing countries and the effect on interest rates and economic growth. In contrast to the still underdeveloped theoretical literature on these dynamic links, finding empirical evidence that supports the existence of these links is not a very hard task.
Hidden Markov Models in Finance
Author: Rogemar S. Mamon
Publisher: Springer
Published: 2014-05-14
Total Pages: 280
ISBN-13: 1489974423
DOWNLOAD EBOOKSince the groundbreaking research of Harry Markowitz into the application of operations research to the optimization of investment portfolios, finance has been one of the most important areas of application of operations research. The use of hidden Markov models (HMMs) has become one of the hottest areas of research for such applications to finance. This handbook offers systemic applications of different methodologies that have been used for decision making solutions to the financial problems of global markets. As the follow-up to the authors’ Hidden Markov Models in Finance (2007), this offers the latest research developments and applications of HMMs to finance and other related fields. Amongst the fields of quantitative finance and actuarial science that will be covered are: interest rate theory, fixed-income instruments, currency market, annuity and insurance policies with option-embedded features, investment strategies, commodity markets, energy, high-frequency trading, credit risk, numerical algorithms, financial econometrics and operational risk. Hidden Markov Models in Finance: Further Developments and Applications, Volume II presents recent applications and case studies in finance and showcases the formulation of emerging potential applications of new research over the book’s 11 chapters. This will benefit not only researchers in financial modeling, but also others in fields such as engineering, the physical sciences and social sciences. Ultimately the handbook should prove to be a valuable resource to dynamic researchers interested in taking full advantage of the power and versatility of HMMs in accurately and efficiently capturing many of the processes in the financial market.
Mathematics of Finance
Author: George Yin
Publisher: American Mathematical Soc.
Published: 2004
Total Pages: 414
ISBN-13: 0821834126
DOWNLOAD EBOOKContains papers based on talks given at the first AMS-IMS-SIAM Joint Summer Research Conference on Mathematics of Finance held at Snowbird. This book includes such topics as modeling, estimation, optimization, control, and risk assessment and management. It is suitable for students interested in mathematical finance.
An Introduction to Stochastic Processes and Their Applications
Author: Chin Long Chiang
Publisher: Krieger Publishing Company
Published: 1980
Total Pages: 552
ISBN-13:
DOWNLOAD EBOOKRandom variables. Probability generating functions. Exponential-type distributions and maximum likelihood estimation. Branching process, random walk and ruin problem. Markov chains. Algebraic treatment of finite Markov chains. Renewal processes. Some stochastic models of population growth. A general birth process, an equality and an epidemic model. Birth-death processes and queueing processes. A simple illness-death process - fix-neyman processes. Multiple transition probabilities in the simple illness death process. Multiple transition time in the simple illness death process - an alternating renewal process. The kolmogorov differential equations and finite markov processes. Kolmogorov differential equations and finite markov processes - continuation. A general illness-death process. Migration processes and birth-illness-death processes.
Modeling, Stochastic Control, Optimization, and Applications
Author: George Yin
Publisher: Springer
Published: 2019-07-16
Total Pages: 593
ISBN-13: 3030254984
DOWNLOAD EBOOKThis volume collects papers, based on invited talks given at the IMA workshop in Modeling, Stochastic Control, Optimization, and Related Applications, held at the Institute for Mathematics and Its Applications, University of Minnesota, during May and June, 2018. There were four week-long workshops during the conference. They are (1) stochastic control, computation methods, and applications, (2) queueing theory and networked systems, (3) ecological and biological applications, and (4) finance and economics applications. For broader impacts, researchers from different fields covering both theoretically oriented and application intensive areas were invited to participate in the conference. It brought together researchers from multi-disciplinary communities in applied mathematics, applied probability, engineering, biology, ecology, and networked science, to review, and substantially update most recent progress. As an archive, this volume presents some of the highlights of the workshops, and collect papers covering a broad range of topics.
Exploration of the Brazilian Term Structure in a Hidden Markov Framework
Author: Mr.Richard Munclinger
Publisher: International Monetary Fund
Published: 2011-01-01
Total Pages: 33
ISBN-13: 1455211931
DOWNLOAD EBOOKWe apply a hidden Markov model of the term structure to modeling the Brazilian swap rate curve. We examine the model's characteristics and its performance in describing the cross-sectional and time-series dynamics of the term structure. Two regimes are identified, a high level and a high volatility regime and a low level and low volatility regime. Both regimes are persistent and are explained by the level and the slope of the term structure. The model is estimated using a Bayesian MCM algorithm that produces consistent standard errors and a reliable method for testing the differences between the model parameters.
Handbook of Quantitative Finance and Risk Management
Author: Cheng-Few Lee
Publisher: Springer Science & Business Media
Published: 2010-06-14
Total Pages: 1700
ISBN-13: 0387771174
DOWNLOAD EBOOKQuantitative finance is a combination of economics, accounting, statistics, econometrics, mathematics, stochastic process, and computer science and technology. Increasingly, the tools of financial analysis are being applied to assess, monitor, and mitigate risk, especially in the context of globalization, market volatility, and economic crisis. This two-volume handbook, comprised of over 100 chapters, is the most comprehensive resource in the field to date, integrating the most current theory, methodology, policy, and practical applications. Showcasing contributions from an international array of experts, the Handbook of Quantitative Finance and Risk Management is unparalleled in the breadth and depth of its coverage. Volume 1 presents an overview of quantitative finance and risk management research, covering the essential theories, policies, and empirical methodologies used in the field. Chapters provide in-depth discussion of portfolio theory and investment analysis. Volume 2 covers options and option pricing theory and risk management. Volume 3 presents a wide variety of models and analytical tools. Throughout, the handbook offers illustrative case examples, worked equations, and extensive references; additional features include chapter abstracts, keywords, and author and subject indices. From "arbitrage" to "yield spreads," the Handbook of Quantitative Finance and Risk Management will serve as an essential resource for academics, educators, students, policymakers, and practitioners.
Macroeconometrics and Time Series Analysis
Author: Steven Durlauf
Publisher: Springer
Published: 2016-04-30
Total Pages: 417
ISBN-13: 0230280838
DOWNLOAD EBOOKSpecially selected from The New Palgrave Dictionary of Economics 2nd edition, each article within this compendium covers the fundamental themes within the discipline and is written by a leading practitioner in the field. A handy reference tool.
Forecasting Volatility in the Financial Markets
Author: Stephen Satchell
Publisher: Elsevier
Published: 2002-08-22
Total Pages: 417
ISBN-13: 0080494978
DOWNLOAD EBOOK'Forecasting Volatility in the Financial Markets' 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 then uses a technical survey to explain the different ways to measure risk and define the different models of volatility and return.The editors have brought together a set of contributors that give the reader a firm grounding in relevant theory and research and an insight into the cutting edge techniques applied in this field of the financial markets.This book is of particular relevance to anyone who wants to understand dynamic areas of the financial markets.* Traders will profit by learning to arbitrage opportunities and modify their strategies to account for volatility.* Investment managers will be able to enhance their asset allocation strategies with an improved understanding of likely risks and returns.* Risk managers will understand how to improve their measurement systems and forecasts, enhancing their risk management models and controls.* Derivative specialists will gain an in-depth understanding of volatility that they can use to improve their pricing models.* Students and academics will find the collection of papers an invaluable overview of this field.This book is of particular relevance to those wanting to understand the dynamic areas of volatility modeling and forecasting of the financial marketsProvides the latest research and techniques for Traders, Investment Managers, Risk Managers and Derivative Specialists wishing to manage their downside risk exposure Current research on the key forecasting methods to use in risk management, including two new chapters
