Equal Risk Pricing Under Convex Trading Constraints PDF Download

Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Equal Risk Pricing Under Convex Trading Constraints PDF full book. Access full book title Equal Risk Pricing Under Convex Trading Constraints by Ivan Guo. Download full books in PDF and EPUB format.

Equal Risk Pricing Under Convex Trading Constraints

Equal Risk Pricing Under Convex Trading Constraints PDF Author: Ivan Guo
Publisher:
ISBN:
Category :
Languages : en
Pages : 21

Book Description
In an incomplete market model where convex trading constraints are imposed upon the underlying assets, it is no longer possible to obtain unique arbitrage-free prices for derivatives using standard replication arguments. Most existing derivative pricing approaches involve the selection of a suitable martingale measure or the optimisation of utility functions as well as risk measures from the perspective of a single trader.We propose a new and effective derivative pricing method, referred to as the equal risk pricing approach, for markets with convex trading constraints. The approach analyses the risk exposure of both the buyer and seller of the derivative, and seeks an equal risk price which evenly distributes the expected loss for both parties under optimal hedging. The existence and uniqueness of the equal risk price are established for both European and American options. Furthermore, if the trading constraints are removed, the equal risk price agrees with the standard arbitrage-free price.Finally, the equal risk pricing approach is applied to a constrained Black-Scholes market model where short-selling is banned. In particular, simple pricing formulas are derived for European calls, European puts and American puts.

Equal Risk Pricing Under Convex Trading Constraints

Equal Risk Pricing Under Convex Trading Constraints PDF Author: Ivan Guo
Publisher:
ISBN:
Category :
Languages : en
Pages : 21

Book Description
In an incomplete market model where convex trading constraints are imposed upon the underlying assets, it is no longer possible to obtain unique arbitrage-free prices for derivatives using standard replication arguments. Most existing derivative pricing approaches involve the selection of a suitable martingale measure or the optimisation of utility functions as well as risk measures from the perspective of a single trader.We propose a new and effective derivative pricing method, referred to as the equal risk pricing approach, for markets with convex trading constraints. The approach analyses the risk exposure of both the buyer and seller of the derivative, and seeks an equal risk price which evenly distributes the expected loss for both parties under optimal hedging. The existence and uniqueness of the equal risk price are established for both European and American options. Furthermore, if the trading constraints are removed, the equal risk price agrees with the standard arbitrage-free price.Finally, the equal risk pricing approach is applied to a constrained Black-Scholes market model where short-selling is banned. In particular, simple pricing formulas are derived for European calls, European puts and American puts.

Convex Measures of Risk and Trading Constraints

Convex Measures of Risk and Trading Constraints PDF Author: Hans Föllmer
Publisher:
ISBN:
Category :
Languages : en
Pages : 20

Book Description


Stochastic Finance

Stochastic Finance PDF Author: Hans Föllmer
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 3110463458
Category : Mathematics
Languages : en
Pages : 608

Book Description
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

Multi-Period Trading Via Convex Optimization

Multi-Period Trading Via Convex Optimization PDF Author: Stephen Boyd
Publisher:
ISBN: 9781680833287
Category : Mathematics
Languages : en
Pages : 92

Book Description
This monograph collects in one place the basic definitions, a careful description of the model, and discussion of how convex optimization can be used in multi-period trading, all in a common notation and framework.

Hedging and Pricing with L2 Convex Risk Measures in Incomplete Markets

Hedging and Pricing with L2 Convex Risk Measures in Incomplete Markets PDF Author: Antoine Toussaint
Publisher:
ISBN: 9780549230038
Category :
Languages : en
Pages : 222

Book Description
This framework is more suitable for optimal hedging with L 2 valued financial markets. A dual representation is given for this minimum risk when the risk measure is real-valued and we give an example of computation in a stochastic volatility model with the shortfall risk. In the general case when the risk may become infinite, we introduce constrained hedging and prove that the minimum risk is still an L2 convex risk measure and the existence of an optimal hedge.

Hedging Derivatives

Hedging Derivatives PDF Author: Thorsten Rheinlander
Publisher: World Scientific
ISBN: 9814462152
Category : Business & Economics
Languages : en
Pages : 244

Book Description
Valuation and hedging of financial derivatives are intrinsically linked concepts. Choosing appropriate hedging techniques depends on both the type of derivative and assumptions placed on the underlying stochastic process. This volume provides a systematic treatment of hedging in incomplete markets. Mean-variance hedging under the risk-neutral measure is applied in the framework of exponential Lévy processes and for derivatives written on defaultable assets. It is discussed how to complete markets based upon stochastic volatility models via trading in both stocks and vanilla options. Exponential utility indifference pricing is explored via a duality with entropy minimization. Backward stochastic differential equations offer an alternative approach and are moreover applied to study markets with trading constraints including basis risk. A range of optimal martingale measures are discussed including the entropy, Esscher and minimal martingale measures. Quasi-symmetry properties of stochastic processes are deployed in the semi-static hedging of barrier options.This book is directed towards both graduate students and researchers in mathematical finance, and will also provide an orientation to applied mathematicians, financial economists and practitioners wishing to explore recent progress in this field.

Convex Duality and Financial Mathematics

Convex Duality and Financial Mathematics PDF Author: Peter Carr
Publisher: Springer
ISBN: 3319924923
Category : Mathematics
Languages : en
Pages : 162

Book Description
This book provides a concise introduction to convex duality in financial mathematics. Convex duality plays an essential role in dealing with financial problems and involves maximizing concave utility functions and minimizing convex risk measures. Recently, convex and generalized convex dualities have shown to be crucial in the process of the dynamic hedging of contingent claims. Common underlying principles and connections between different perspectives are developed; results are illustrated through graphs and explained heuristically. This book can be used as a reference and is aimed toward graduate students, researchers and practitioners in mathematics, finance, economics, and optimization. Topics include: Markowitz portfolio theory, growth portfolio theory, fundamental theorem of asset pricing emphasizing the duality between utility optimization and pricing by martingale measures, risk measures and its dual representation, hedging and super-hedging and its relationship with linear programming duality and the duality relationship in dynamic hedging of contingent claims

The Interval Market Model in Mathematical Finance

The Interval Market Model in Mathematical Finance PDF Author: Pierre Bernhard
Publisher: Springer Science & Business Media
ISBN: 0817683887
Category : Mathematics
Languages : en
Pages : 348

Book Description
Toward the late 1990s, several research groups independently began developing new, related theories in mathematical finance. These theories did away with the standard stochastic geometric diffusion “Samuelson” market model (also known as the Black-Scholes model because it is used in that most famous theory), instead opting for models that allowed minimax approaches to complement or replace stochastic methods. Among the most fruitful models were those utilizing game-theoretic tools and the so-called interval market model. Over time, these models have slowly but steadily gained influence in the financial community, providing a useful alternative to classical methods. A self-contained monograph, The Interval Market Model in Mathematical Finance: Game-Theoretic Methods assembles some of the most important results, old and new, in this area of research. Written by seven of the most prominent pioneers of the interval market model and game-theoretic finance, the work provides a detailed account of several closely related modeling techniques for an array of problems in mathematical economics. The book is divided into five parts, which successively address topics including: · probability-free Black-Scholes theory; · fair-price interval of an option; · representation formulas and fast algorithms for option pricing; · rainbow options; · tychastic approach of mathematical finance based upon viability theory. This book provides a welcome addition to the literature, complementing myriad titles on the market that take a classical approach to mathematical finance. It is a worthwhile resource for researchers in applied mathematics and quantitative finance, and has also been written in a manner accessible to financially-inclined readers with a limited technical background.

Option Pricing, Interest Rates and Risk Management

Option Pricing, Interest Rates and Risk Management PDF Author: Elyès Jouini
Publisher: Cambridge University Press
ISBN: 9780521792370
Category : Derivative securities
Languages : en
Pages : 324

Book Description
This 2001 handbook surveys the state of practice, method and understanding in the field of mathematical finance. Every chapter has been written by leading researchers and each starts by briefly surveying the existing results for a given topic, then discusses more recent results and, finally, points out open problems with an indication of what needs to be done in order to solve them. The primary audiences for the book are doctoral students, researchers and practitioners who already have some basic knowledge of mathematical finance. In sum, this is a comprehensive reference work for mathematical finance and will be indispensable to readers who need to find a quick introduction or reference to a specific topic, leading all the way to cutting edge material.

Essays on Portfolio Optimization and ESG Ratings under Risk Constraints and Incomplete Information

Essays on Portfolio Optimization and ESG Ratings under Risk Constraints and Incomplete Information PDF Author: Janke, Oliver
Publisher: Lehmanns Media
ISBN: 396543506X
Category : Business & Economics
Languages : en
Pages : 244

Book Description
In this thesis, we analyze various problems of dynamic portfolio optimization as well as green capital requirements under risk constraints and incomplete information. First, we examine the problem of optimal expected utility under the constraint of a utility-based shortfall risk measure in an incomplete market. The existence and uniqueness of an optimal solution to the problem are shown using a Lagrange multiplier and duality methods. Second, we consider the optimization problem under various levels of the investor’s information. By using martingale representation theorems, we demonstrate the existence and uniqueness of optimal solutions, which differ in their market dynamics. Third, we analyze the effects of green- and brownwashing on banks’ lending to firms, on the regulator’s deposit insurance subsidy, and on carbon emissions under different green capital requirement functions. Furthermore, we show that green capital requirements may compromise financial stability.