000 | 01294nam a22002657a 4500 | ||
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001 | 29879 | ||
005 | 20241109222103.0 | ||
008 | 230506s2021 vm ||||| |||||||||||eng d | ||
040 |
_aLIB.UNETI _bvie _cLIB.UNETI _eAACR2 |
||
041 | 0 | _aeng | |
044 | _avm | ||
082 |
_a332.6 _bIr29A |
||
100 | 1 | _aAldridge, Irene | |
245 | 1 | 0 |
_aBig data science in finance / _cIrene Aldridge, Marco Avellaneda |
260 |
_bJohn Wiley & Sons, Inc., _c2021 |
||
300 |
_a328 p. ; _c24 cm |
||
520 | 3 | _aExplains the mathematics, theory, and methods of Big Data as applied to finance and investing. Data science has fundamentally changed Wall Street-applied mathematics and software code are increasingly driving finance and investment-decision tools. Big Data Science in Finance examines the mathematics, theory, and practical use of the revolutionary techniques that are transforming the industry. Designed for mathematically-advanced students and discerning financial practitioners alike, this energizing book presents new, cutting-edge content based on world-class research taught in the leading Financial Mathematics and Engineering programs in the world. | |
653 | _aBig data | ||
653 | _aFinance | ||
690 | _a04 | ||
691 | _a41 | ||
691 | _a63 | ||
700 | 1 | _aAvellaneda, Marco | |
942 | _cSNV | ||
999 |
_c8511 _d8511 |