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Robust Libor Modelling and Pricing of Derivative Products
One of Riskbook.com's Best of 2005 - Top Ten Finance BooksThe Libor market model remains one of the most popular and advanced tools for modelling interest rates and interest rate …
Stochastic Processes With Applications to Finance
Financial engineering has been proven to be a useful tool for risk management, but using the theory in practice requires a thorough understanding of the risks and ethical standards …
Portfolio Optimization and Performance Analysis
In answer to the intense development of new financial products and the increasing complexity of portfolio management theory, Portfolio Optimization and Performance Analysis offers …
Unravelling the Credit Crunch
Fascinating Insight into How the Financial System Works and How the Credit Crisis AroseClearly supplies details vital to understanding the crisis Unravelling the Credit Crunch …
Stochastic Finance
Unlike much of the existing literature, Stochastic Finance: A Numeraire Approach treats price as a number of units of one asset needed for an acquisition of a unit of another asset …
Structured Credit Portfolio Analysis, Baskets and CDOs
The financial industry is swamped by credit products whose economic performance is linked to the performance of some underlying portfolio of credit-risky instruments, like loans, …
Engineering BGM
Also known as the Libor market model, the Brace-Gatarek-Musiela (BGM) model is becoming an industry standard for pricing interest rate derivatives. Written by one of its …
Understanding Risk
Sound risk management often involves a combination of both mathematical and practical aspects. Taking this into account, Understanding Risk: The Theory and Practice of Financial …
American-Style Derivatives
While the valuation of standard American option contracts has now achieved a fair degree of maturity, much work remains to be done regarding the new contractual forms that are …
Machine Learning for Factor Investing: R Version
Machine learning (ML) is progressively reshaping the fields of quantitative finance and algorithmic trading. ML tools are increasingly adopted by hedge funds and asset managers, …
Portfolio Optimization
Eschewing a more theoretical approach, Portfolio Optimization shows how the mathematical tools of linear algebra and optimization can quickly and clearly formulate important ideas …
Undergraduate Introduction To Financial Mathematics, An
This textbook provides an introduction to financial mathematics and financial engineering for undergraduate students who have completed a three- or four-semester sequence of …