000 02355cam a2200289zu 4500
001 10086311
003 FRCYB10086311
005 20250108085617.0
006 m o d
007 cr un
008 250108s2004 fr | o|||||0|0|||eng d
020 _a9780750660068
035 _aFRCYB10086311
040 _aFR-PaCSA
_ben
_c
_erda
100 1 _aSatchell, Stephen
245 0 1 _aLinear Factor Models in Finance
_c['Satchell, Stephen', 'Knight, John']
264 1 _bElsevier Science
_c2004
300 _a p.
336 _btxt
_2rdacontent
337 _bc
_2rdamdedia
338 _bc
_2rdacarrier
650 0 _a
700 0 _aSatchell, Stephen
700 0 _aKnight, John
856 4 0 _2Cyberlibris
_uhttps://international.scholarvox.com/netsen/book/10086311
_qtext/html
_a
520 _aThe determination of the values of stocks, bonds, options, futures, and derivatives is done by the scientific process of asset pricing, which has developed dramatically in the last few years due to advances in financial theory and econometrics. This book covers the science of asset pricing by concentrating on the most widely used modelling technique called: Linear Factor Modelling. Linear Factor Models covers an important area for Quantitative Analysts/Investment Managers who are developing Quantitative Investment Strategies. Linear factor models (LFM) are part of modern investment processes that include asset valuation, portfolio theory and applications, linear factor models and applications, dynamic asset allocation strategies, portfolio performance measurement, risk management, international perspectives, and the use of derivatives. The book develops the building blocks for one of the most important theories of asset pricing - Linear Factor Modelling. Within this framework, we can include other asset pricing theories such as the Capital Asset Pricing Model (CAPM), arbitrage pricing theory and various pricing formulae for derivatives and option prices. As a bare minimum, the reader of this book must have a working knowledge of basic calculus, simple optimisation and elementary statistics. In particular, the reader must be comfortable with the algebraic manipulation of means, variances (and covariances) of linear combination(s) of random variables. Some topics may require a greater mathematical sophistication.
999 _c81262
_d81262