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How to Understand and Use Mathematics for Derivatives: Vol. 2
[April 27, 2010]

How to Understand and Use Mathematics for Derivatives: Vol. 2


(M2 PressWIRE Via Acquire Media NewsEdge) Dublin - Research and Markets (http://www.researchandmarkets.com/research/fe91bf/how_to_understand) has announced the addition of the "How to Understand and Use Mathematics for Derivatives: Vol. 2" report to their offering.



These two companion volumes offer a comprehensive guide to the new maths, analysing and explaining the behaviour of the markets and providing a practical guide to the key mathematical models underlying trading and risk management.

Volume II - Advanced Modelling Methods - offers a comprehensive explanation of new terms and techniques used in financial analysis. Ten chapters evaluate the latest developments in the field, formulae calculation and analysis of the different ways in which data can be interpreted and profited from including: computational finance; trading techniques; financial engineering; non-linear maths; mathematical analysis and risk management; statistical inference, skewness and kyrosis; high frequency data and why banks use it; fractals and chaos theory in financial markets.


Author information Professor Dr. Dimitris N. Chorafas has, since 1961, advised financial institutions and industrial corporations on strategic planning, risk management, computer and communications systems, and internal controls. A graduate of the University of California, Los Angeles, the University of Paris, and the Technical University of Athens, Dr Chorafas has been a fulbright scholar.

Among the multinational corporations for which Dr Chorafas has worked as consultant to top management are General Electric, Bull, Univac, Honeywell, Digital Equipment Corp, Olivetti, Nestle, Omega, Italcementi, AEG-Telefunken, Olympia, Osram, Antar, Pechiney, the American Management Association and a range of other firms in Europe and the United States.

Dr Chorafas has served on the faculty of the Catholic University of America and as visiting professor at five other American universities, one Canadian, one Swiss and one German university. More that 6,000 banking, industry and government executives have participated in his seminars in the United States, England, Germany, other European countries, Asia and Latin America.

Key Topics Covered: PART ONE NON-TRADITIONAL FINANCIAL RESEARCH Chapter 1: 11 The sense of analytical computational finance Chapter 2: 35 Leading-edge techniques in prognosis and trading Chapter 3: 57 Fair value, marking-to-model, implied volatility and realtime simulation Chapter 4: 81 Applying chaos theory in financial transactions PART TWO LOGARITHMS AND STATISTICS Chapter 5: 107 Logarithmic distributions, black boxes, Laplace transforms and Fourier series Chapter 6: 135 Statistical design, leptokyrtotic distributions, confidence intervals and test of hypothesis Chapter 7: 165 Parameter-driven statistical design, parametric statistics and non-parametric statistics PART THREE NON-LINEAR MATHEMATICS Chapter 8: 191 Understanding and applying non-linear models Chapter 9: 215 Feedback control systems, root locus, the Nyquist criterion and auto-oscillations Chapter 10: 239 Brownian motion, Mandelbrot's fractals and currency exchange applications PART FOUR HIGH-FREQUENCY DATA AND RISK CONTROL Chapter 11: 265 Weibull distribution and the risk-management algorithm Chapter 12: 295 Intraday information, micro-seasonality and high- frequency financial data Chapter 13: 319 Heteroschedasticity, autocorrelation, autoregression and the Arch family of models For more information visit http://www.researchandmarkets.com/research/fe91bf/how_to_understand ((Comments on this story may be sent to [email protected])) (c) 2010 M2 COMMUNICATIONS

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