Practical methods of financial engineering and risk management : tools for modern financial professionals
(eBook)

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Average Rating
Published
[New York, N.Y.] : Apress, [2014].
Format
eBook
ISBN
143026134X, 3642553451, 9781430261346, 9783642553455
Physical Desc
1 online resource : illustrations
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Language
English
UPC
10.1007/978-1-4302-6134-6, 10.1007/978-1-4302-6

Notes

Bibliography
Includes bibliographical references and index.
Description
Rupak Chatterjee, former director of the multi-asset quantitative research group at Citi, introduces finance professionals and advanced students to the latest concepts, tools, valuation techniques, and analytic measures being deployed by the more discerning and responsive Wall Street practitioners, on all operational scales from day trading to institutional strategy, to model and analyze more faithfully the real behavior and risk exposure of financial markets in the cold light of the post-2008 realities. The book assumes a working knowledge of calculus, statistics, and Excel, but it teaches techniques from statistical analysis, probability, and stochastic processes sufficient to enable the reader to calibrate probability distributions and create the simulations that are used on Wall Street to valuate various financial instruments correctly, model the risk dimensions of trading strategies, and perform the numerically intensive analysis of risk measures required by various regulatory agencies. --,Edited summary from book.

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Citations

APA Citation, 7th Edition (style guide)

Chatterjee, R. (2014). Practical methods of financial engineering and risk management: tools for modern financial professionals . Apress.

Chicago / Turabian - Author Date Citation, 17th Edition (style guide)

Chatterjee, Rupak. 2014. Practical Methods of Financial Engineering and Risk Management: Tools for Modern Financial Professionals. Apress.

Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)

Chatterjee, Rupak. Practical Methods of Financial Engineering and Risk Management: Tools for Modern Financial Professionals Apress, 2014.

MLA Citation, 9th Edition (style guide)

Chatterjee, Rupak. Practical Methods of Financial Engineering and Risk Management: Tools for Modern Financial Professionals Apress, 2014.

Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.

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Grouped Work ID
b12be6e2-1ce5-4b29-9320-c606308e27f1-eng
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Grouped Work IDb12be6e2-1ce5-4b29-9320-c606308e27f1-eng
Full titlepractical methods of financial engineering and risk management tools for modern financial professionals
Authorchatterjee rupak
Grouping Categorybook
Last Update2024-09-06 16:31:08PM
Last Indexed2024-09-28 04:04:32AM

Marc Record

First DetectedJul 29, 2024 04:01:03 PM
Last File Modification TimeSep 06, 2024 04:35:14 PM

MARC Record

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24510|a Practical methods of financial engineering and risk management :|b tools for modern financial professionals /|c Rupak Chatterjee.
24630|a Tools for modern financial professionals
260 |a [New York, N.Y.] :|b Apress,|c [2014]
264 4|c ©2014
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347 |a text file
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4901 |a Quantitative finance series
504 |a Includes bibliographical references and index.
5050 |a Contents at a Glance -- Contents -- Series Editorsâ€? Foreword -- About the Author -- About the Technical Reviewer -- Acknowledgments -- Introduction -- Chapter 1: Financial Instruments -- Bloomberg Market Data Screens -- Cash Instruments -- Fed Funds -- Eurodollar Deposits -- US Treasury Bills, Notes, and Bonds -- Repo and Reverse Repo -- Equity indexes -- Dow Jones -- S & P 500 -- NASDAQ Composite Index -- Commercial Paper -- LIBOR -- Spot Forex -- Key Rates -- Prime Rate -- Federal Funds Target Rate -- Discount Rate -- Gold
5058 |a Futures and SwapsCrude Oil -- Fed Funds Futures -- 90-Day Eurodollar Futures -- 10-Year Treasury Note Futures -- Swaps -- Swap Valuation -- Swap Spreads -- Swap Futures -- Derivatives and Structured Products -- Dynamic Hedging and Replication -- Implied Volatility -- Caps and Floors -- Market Implied Volatility Quotes for Caps and Floors -- ATM Strike strike -- Swaptions -- Mortgage-Backed Securities -- Bloomberg Price Quotes: 30Y MBS -- Appendix: Daycount Conventions -- Problems -- Further Reading -- Chapter 2: Building a Yield Curve
5058 |a Overview of Yield Curve ConstructionCash LIBOR Rates -- 90D Eurodollar Futures -- Swaps -- Generic Discount Factors -- Problems -- Problem 2.1: Build a Simple Yield Curve -- Further Reading -- Chapter 3: Statistical Analysis of Financial Data -- Tools in Probability Theory -- Moments of a Distribution -- Creating Random Variables and Distributions -- The Inverse Transform Method -- Creating a Density Function: Histograms and Frequencies -- Excel Histogram-Creating Method: Static Data -- Excel Histogram-Creating Method: Dynamic Data
5058 |a Normalization of a HistogramMixture of Gaussians: Creating a Distribution with High Kurtosis -- Random Variable Approach -- Density Approach -- Skew Normal Distribution: Creating a Distribution with Skewness -- Calibrating Distributions through Moment Matching -- Calibrating a Mixed Gaussian Distribution to Equity Returns -- Fitting by Hand -- Chi-Squared Fitting -- Calibrating a Generalized Studentâ€?s- t Distribution to Equity Returns -- Calibrating a Beta Distribution to Recovery Rates of Defaulted Bonds -- Basic Risk Measures
5058 |a Calculating VaR and CVaR from Financial Return DataThe Term Structure of Statistics -- The Term Structure of the Mean -- The Term Structure of Skew -- The Term Structure of Kurtosis -- The Term Structure of Volatility -- The Term Structure of “Upâ€? Volatility -- The Term Structure of “Downâ€? Volatility -- Autocorrelation -- Dynamic Portfolio Allocation -- Modern Portfolio Theory -- Key Problems with Modern Portfolio Theory -- Generic Rules to Dynamic Portfolio Allocation with Volatility Targets -- Appendix. Joint Distributions and Correlation
520 |a Rupak Chatterjee, former director of the multi-asset quantitative research group at Citi, introduces finance professionals and advanced students to the latest concepts, tools, valuation techniques, and analytic measures being deployed by the more discerning and responsive Wall Street practitioners, on all operational scales from day trading to institutional strategy, to model and analyze more faithfully the real behavior and risk exposure of financial markets in the cold light of the post-2008 realities. The book assumes a working knowledge of calculus, statistics, and Excel, but it teaches techniques from statistical analysis, probability, and stochastic processes sufficient to enable the reader to calibrate probability distributions and create the simulations that are used on Wall Street to valuate various financial instruments correctly, model the risk dimensions of trading strategies, and perform the numerically intensive analysis of risk measures required by various regulatory agencies. --|c Edited summary from book.
5880 |a Print version record.
650 0|a Financial engineering|x Methodology.
650 0|a Risk management|x Methodology.
7102 |a Stevens Institute of Technology.|0 http://id.loc.gov/authorities/names/n80008758
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77608|i Printed edition:|z 9781430261339
830 0|a Quantitative finance series.|0 http://id.loc.gov/authorities/names/no2001010280
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