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LEADER 00000cam a2200937Ia 4500 
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007    cr cnu---unuuu 
008    140929s2014    nyua    ob    001 0 eng d 
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020    143026134X|q(electronic bk.) 
020    9783642553455|q(electronic bk.) 
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024 7  10.1007/978-1-4302-6134-6|2doi 
024 8  10.1007/978-1-4302-6 
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049    INap 
082 04 658.15 
082 04 658.15|223 
099    eBook O'Reilly for Public Libraries 
100 1  Chatterjee, Rupak,|eauthor. 
245 10 Practical methods of financial engineering and risk 
       management :|btools for modern financial professionals /
       |cRupak Chatterjee.|h[O'Reilly electronic resource] 
246 30 Tools for modern financial professionals 
260    [New York, N.Y.] :|bApress,|c[2014] 
264  4 |c©2014 
300    1 online resource :|billustrations 
336    text|btxt|2rdacontent 
337    computer|bc|2rdamedia 
338    online resource|bcr|2rdacarrier 
347    text file 
347    |bPDF 
490 1  Quantitative finance series 
504    Includes bibliographical references and index. 
505 0  Contents at a Glance -- Contents -- Series Editors� 
       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 
505 8  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 
505 8  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 
505 8  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 Student�s- t Distribution to Equity Returns 
       -- Calibrating a Beta Distribution to Recovery Rates of 
       Defaulted Bonds -- Basic Risk Measures 
505 8  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 “Up� Volatility -- The Term 
       Structure of “Down� 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    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. --|cEdited summary from book. 
588 0  Print version record. 
590    O'Reilly|bO'Reilly Online Learning: Academic/Public 
       Library Edition 
650  0 Financial engineering|xMethodology. 
650  0 Risk management|xMethodology. 
650  6 Ingénierie financière|xMéthodologie. 
650  6 Gestion du risque|xMéthodologie. 
650  7 Risk management|xMethodology|2fast 
650  7 Risikomanagement|2gnd 
650  7 Financial Engineering|2gnd 
710 2  Stevens Institute of Technology. 
776 08 |iPrinted edition:|z9781430261339 
830  0 Quantitative finance series. 
856 40 |uhttps://ezproxy.naperville-lib.org/login?url=https://
       learning.oreilly.com/library/view/~/9781430261346/?ar
       |zAvailable on O'Reilly for Public Libraries 
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