Financial Statistics and Data Analytics
Modern financial management is largely about risk management, which is increasingly data-driven. The problem is how to extract information from the data overload. It is here that advanced statistical and machine learning techniques can help. Accordingly, finance, statistics, and data analytics go ha...
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Year of Publication: | 2021 |
Language: | English |
Physical Description: | 1 electronic resource (232 p.) |
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Liu, Shuangzhe edt Financial Statistics and Data Analytics Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021 1 electronic resource (232 p.) text txt rdacontent computer c rdamedia online resource cr rdacarrier Modern financial management is largely about risk management, which is increasingly data-driven. The problem is how to extract information from the data overload. It is here that advanced statistical and machine learning techniques can help. Accordingly, finance, statistics, and data analytics go hand in hand. The purpose of this book is to bring the state-of-art research in these three areas to the fore and especially research that juxtaposes these three. English Coins, banknotes, medals, seals (numismatics) bicssc Index parameter estimation wrapped stable Hill estimator characteristic function-based estimator asymptotic efficiency GARCH model HARCH model PHARCH model Griddy-Gibs Euro-Dollar safe-haven assets gold price Swiss Franc exchange rate oil price generalized Birnbaum–Saunders distributions ACD models Box-Cox transformation high-frequency financial data goodness-of-fit banking competition credit risk NPLs Theil index convergence analysis interest rates yeld curve no-arbitrage bonds B-splines time series multifractal processes fractal scaling heavy tails long range dependence financial models Bitcoin capital asset pricing model estimation of systematic risk tests of mean-variance efficiency t-distribution generalized method of moments multifactor asset pricing model Lerner index stochastic frontiers shrinkage estimator seemingly unrelated regression model multicollinearity ridge regression financial incentives public service motivation job performance job satisfaction intention to leave 3-03943-975-8 3-03943-976-6 Sathye, Milind edt Liu, Shuangzhe oth Sathye, Milind oth |
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English |
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author2 |
Sathye, Milind Liu, Shuangzhe Sathye, Milind |
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Sathye, Milind Liu, Shuangzhe Sathye, Milind |
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HerausgeberIn Sonstige Sonstige |
title |
Financial Statistics and Data Analytics |
spellingShingle |
Financial Statistics and Data Analytics |
title_full |
Financial Statistics and Data Analytics |
title_fullStr |
Financial Statistics and Data Analytics |
title_full_unstemmed |
Financial Statistics and Data Analytics |
title_auth |
Financial Statistics and Data Analytics |
title_new |
Financial Statistics and Data Analytics |
title_sort |
financial statistics and data analytics |
publisher |
MDPI - Multidisciplinary Digital Publishing Institute |
publishDate |
2021 |
physical |
1 electronic resource (232 p.) |
isbn |
3-03943-975-8 3-03943-976-6 |
illustrated |
Not Illustrated |
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AT liushuangzhe financialstatisticsanddataanalytics AT sathyemilind financialstatisticsanddataanalytics |
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(CKB)5400000000040767 (oapen)https://directory.doabooks.org/handle/20.500.12854/68428 (EXLCZ)995400000000040767 |
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Financial Statistics and Data Analytics |
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