Stochastic Modeling And Fair Valuation Of Drawdown Insurance
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| Author | : Hongzhong Zhang |
| Publisher | : World Scientific |
| Total Pages | : 257 |
| Release | : 2018-05-07 |
| Genre | : Business & Economics |
| ISBN | : 9813141654 |
Stochastic Drawdowns consists of some recent advances on Dr Hongzhong Zhang's own quantitative research of the well-known risk measures, drawdowns and maximum drawdowns. In this book, the author provides an extensive probabilistic study of different aspects of drawdown risks, which include the drawdown risk in finite time-horizons, the speed of market crashes (drawdowns), the frequency of drawdowns, the occupation time (time in distress), and the duration of drawdowns. Leveraging the knowledge in stochastic calculus, Lévy processes and optimal stopping, these topics can be considered as problems in advanced applied stochastic processes, and insurance/financial mathematics.The book also offers a number of applications of drawdowns in financial risk management, insurance, and algorithmic trading, including schemes on hedging and synthesizing of maximum drawdown options, (cancellable) drawdown insurance contracts and their fair premium, as well as optimal trading under drawdown-type constraints such as trailing stops.It is the goal of this book to offer a comprehensive characterization of drawdown risks and a handful of applications of drawdown in practice. On the one hand, the book enables interested students and researchers to learn the state-of-art probabilistic research on drawdowns, and explore new mathematical problems that are of practical importance to the financial industry. On the other hand, the book provides financial practitioners with access to a variety of analytically tractable measurements of drawdown risks, and the insight into hedging, optimal trading and execution amid challenges of these risks.
| Author | : Jean-Pierre Fouque |
| Publisher | : Cambridge University Press |
| Total Pages | : 222 |
| Release | : 2000-07-03 |
| Genre | : Business & Economics |
| ISBN | : 9780521791632 |
This book, first published in 2000, addresses pricing and hedging derivative securities in uncertain and changing market volatility.
| Author | : Jürgen Pilz |
| Publisher | : Springer Nature |
| Total Pages | : 166 |
| Release | : 2022-05-20 |
| Genre | : Mathematics |
| ISBN | : 3031066855 |
This book provides an overview of the role of statistics in Risk Analysis, by addressing theory, methodology and applications covering the broad scope of risk assessment in life sciences and public health, environmental science as well as in economics and finance. Experimental Design plays a key role in many of these areas, therefore there is special attention paid to joining Risk Analysis and Experimental Design topics. The contributions of this volume originate from the 8th International Conference on Risk Analysis (23-26 April, 2019, Vienna). The conference brought together researchers and practitioners working in the field of Risk Analysis. The most important contributions at the conference have been refereed and developed into chapters to show the latest developments in the field.
| Author | : J. David Cummins |
| Publisher | : World Bank Publications |
| Total Pages | : 299 |
| Release | : 2009 |
| Genre | : Political Science |
| ISBN | : 0821377361 |
'Catastrophe Risk Financing in Developing Countries' provides a detailed analysis of the imperfections and inefficiencies that impede the emergence of competitive catastrophe risk markets in developing countries. The book demonstrates how donors and international financial institutions can assist governments in middle- and low-income countries in promoting effective and affordable catastrophe risk financing solutions. The authors present guiding principles on how and when governments, with assistance from donors and international financial institutions, should intervene in catastrophe insurance markets. They also identify key activities to be undertaken by donors and institutions that would allow middle- and low-income countries to develop competitive and cost-effective catastrophe risk financing strategies at both the macro (government) and micro (household) levels. These principles and activities are expected to inform good practices and ensure desirable results in catastrophe insurance projects. 'Catastrophe Risk Financing in Developing Countries' offers valuable advice and guidelines to policy makers and insurance practitioners involved in the development of catastrophe insurance programs in developing countries.
| Author | : Elisa Luciano |
| Publisher | : MDPI |
| Total Pages | : 224 |
| Release | : 2019-10-16 |
| Genre | : Business & Economics |
| ISBN | : 3039216244 |
Financial Risk Measurement is a challenging task, because both the types of risk and the techniques evolve very quickly. This book collects a number of novel contributions to the measurement of financial risk, which address either non-fully explored risks or risk takers, and does so in a wide variety of empirical contexts.
| Author | : Collectif |
| Publisher | : OECD |
| Total Pages | : 153 |
| Release | : 2016-12-05 |
| Genre | : Business & Economics |
| ISBN | : 9264267794 |
This publication helps policy makers to better understand annuity products and the guarantees they provide in order to optimise the role that these products can play in financing retirement. Product design is a crucial factor in the potential role of annuity products within the pension system, along with the cost and demand for these products, and the resulting risks that are borne by the annuity providers. Increasingly complex products, however, pose additional challenges concerning consumer protection. Consumers need to be aware of their options and have access to unbiased and comprehensible advice and information about these products.
| Author | : Allen N. Berger |
| Publisher | : Academic Press |
| Total Pages | : 296 |
| Release | : 2015-11-24 |
| Genre | : Business & Economics |
| ISBN | : 0128005319 |
Bank Liquidity Creation and Financial Crises delivers a consistent, logical presentation of bank liquidity creation and addresses questions of research and policy interest that can be easily understood by readers with no advanced or specialized industry knowledge. Authors Allen Berger and Christa Bouwman examine ways to measure bank liquidity creation, how much liquidity banks create in different countries, the effects of monetary policy (including interest rate policy, lender of last resort, and quantitative easing), the effects of capital, the effects of regulatory interventions, the effects of bailouts, and much more. They also analyze bank liquidity creation in the US over the past three decades during both normal times and financial crises. Narrowing the gap between the "academic world" (focused on theories) and the "practitioner world" (dedicated to solving real-world problems), this book is a helpful new tool for evaluating a bank's performance over time and comparing it to its peer group. - Explains that bank liquidity creation is a more comprehensive measure of a bank's output than traditional measures and can also be used to measure bank liquidity - Describes how high levels of bank liquidity creation may cause or predict future financial crises - Addresses questions of research and policy interest related to bank liquidity creation around the world and provides links to websites with data and other materials to address these questions - Includes such hot-button topics as the effects of monetary policy (including interest rate policy, lender of last resort, and quantitative easing), the effects of capital, the effects of regulatory interventions, and the effects of bailouts
| Author | : Cheng Few Lee |
| Publisher | : World Scientific |
| Total Pages | : 5053 |
| Release | : 2020-07-30 |
| Genre | : Business & Economics |
| ISBN | : 9811202400 |
This four-volume handbook covers important concepts and tools used in the fields of financial econometrics, mathematics, statistics, and machine learning. Econometric methods have been applied in asset pricing, corporate finance, international finance, options and futures, risk management, and in stress testing for financial institutions. This handbook discusses a variety of econometric methods, including single equation multiple regression, simultaneous equation regression, and panel data analysis, among others. It also covers statistical distributions, such as the binomial and log normal distributions, in light of their applications to portfolio theory and asset management in addition to their use in research regarding options and futures contracts.In both theory and methodology, we need to rely upon mathematics, which includes linear algebra, geometry, differential equations, Stochastic differential equation (Ito calculus), optimization, constrained optimization, and others. These forms of mathematics have been used to derive capital market line, security market line (capital asset pricing model), option pricing model, portfolio analysis, and others.In recent times, an increased importance has been given to computer technology in financial research. Different computer languages and programming techniques are important tools for empirical research in finance. Hence, simulation, machine learning, big data, and financial payments are explored in this handbook.Led by Distinguished Professor Cheng Few Lee from Rutgers University, this multi-volume work integrates theoretical, methodological, and practical issues based on his years of academic and industry experience.
| Author | : Hans Föllmer |
| Publisher | : Walter de Gruyter GmbH & Co KG |
| Total Pages | : 608 |
| Release | : 2016-07-25 |
| Genre | : Mathematics |
| ISBN | : 3110463458 |
This book is an introduction to financial mathematics. It is intended for graduate students in mathematics and for researchers working in academia and industry. The focus on stochastic models in discrete time has two immediate benefits. First, the probabilistic machinery is simpler, and one can discuss right away some of the key problems in the theory of pricing and hedging of financial derivatives. Second, the paradigm of a complete financial market, where all derivatives admit a perfect hedge, becomes the exception rather than the rule. Thus, the need to confront the intrinsic risks arising from market incomleteness appears at a very early stage. The first part of the book contains a study of a simple one-period model, which also serves as a building block for later developments. Topics include the characterization of arbitrage-free markets, preferences on asset profiles, an introduction to equilibrium analysis, and monetary measures of financial risk. In the second part, the idea of dynamic hedging of contingent claims is developed in a multiperiod framework. Topics include martingale measures, pricing formulas for derivatives, American options, superhedging, and hedging strategies with minimal shortfall risk. This fourth, newly revised edition contains more than one hundred exercises. It also includes material on risk measures and the related issue of model uncertainty, in particular a chapter on dynamic risk measures and sections on robust utility maximization and on efficient hedging with convex risk measures. Contents: Part I: Mathematical finance in one period Arbitrage theory Preferences Optimality and equilibrium Monetary measures of risk Part II: Dynamic hedging Dynamic arbitrage theory American contingent claims Superhedging Efficient hedging Hedging under constraints Minimizing the hedging error Dynamic risk measures
| Author | : Michael Zabarankin |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 254 |
| Release | : 2013-12-16 |
| Genre | : Business & Economics |
| ISBN | : 1461484715 |
Statistical Decision Problems presents a quick and concise introduction into the theory of risk, deviation and error measures that play a key role in statistical decision problems. It introduces state-of-the-art practical decision making through twenty-one case studies from real-life applications. The case studies cover a broad area of topics and the authors include links with source code and data, a very helpful tool for the reader. In its core, the text demonstrates how to use different factors to formulate statistical decision problems arising in various risk management applications, such as optimal hedging, portfolio optimization, cash flow matching, classification, and more. The presentation is organized into three parts: selected concepts of statistical decision theory, statistical decision problems, and case studies with portfolio safeguard. The text is primarily aimed at practitioners in the areas of risk management, decision making, and statistics. However, the inclusion of a fair bit of mathematical rigor renders this monograph an excellent introduction to the theory of general error, deviation, and risk measures for graduate students. It can be used as supplementary reading for graduate courses including statistical analysis, data mining, stochastic programming, financial engineering, to name a few. The high level of detail may serve useful to applied mathematicians, engineers, and statisticians interested in modeling and managing risk in various applications.
