000 03482nam a22004215i 4500
001 978-1-4302-6134-6
003 DE-He213
005 20200420211744.0
007 cr nn 008mamaa
008 140926s2014 xxu| s |||| 0|eng d
020 _a9781430261346
_9978-1-4302-6134-6
024 7 _a10.1007/978-1-4302-6134-6
_2doi
050 4 _aHF4999.2-6182
050 4 _aHD28-70
072 7 _aKJ
_2bicssc
072 7 _aBUS042000
_2bisacsh
082 0 4 _a650
_223
100 1 _aChatterjee, Rupak.
_eauthor.
245 1 0 _aPractical Methods of Financial Engineering and Risk Management
_h[electronic resource] :
_bTools for Modern Financial Professionals /
_cby Rupak Chatterjee.
264 1 _aBerkeley, CA :
_bApress :
_bImprint: Apress,
_c2014.
300 _aXXIV, 388 p. 186 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
520 _aRisk control, capital allocation, and realistic derivative pricing and hedging are critical concerns for major financial institutions and individual traders alike. Events from the collapse of Lehman Brothers to the Greek sovereign debt crisis demonstrate the urgent and abiding need for statistical tools adequate to measure and anticipate the amplitude of potential swings in the financial markets-from ordinary stock price and interest rate moves, to defaults, to those increasingly frequent "rare events" fashionably called black swan events. Yet many on Wall Street continue to rely on standard models based on artificially simplified assumptions that can lead to systematic (and sometimes catastrophic) underestimation of real risks. In Practical Methods of Financial Engineering and Risk Management, Dr. 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. Until one masters this modern skill set, one cannot allocate risk capital properly, price and hedge derivative securities realistically, or risk-manage positions from the multiple perspectives of market risk, credit risk, counterparty risk, and systemic risk. 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.
650 0 _aBusiness.
650 0 _aManagement science.
650 1 4 _aBusiness and Management.
650 2 4 _aBusiness and Management, general.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781430261339
856 4 0 _uhttp://dx.doi.org/10.1007/978-1-4302-6134-6
912 _aZDB-2-SBE
942 _cEBK
999 _c50835
_d50835