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Statistics and Data Analysis for Financial Engineering · Study

BookStatistics and Data Analysis for Financial Engineering

David Ruppert2010

Book2010

Statistics and Data Analysis for Financial Engineering

262 citations·0/0 files stored·Springer texts in statistics

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Financial Risk and Volatility Modeling Stochastic processes and financial applications Statistical Methods and Applications

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2016The impact of natural disasters on the stock returns and volatilities of local firms 2016A Signal Processing Perspective on Financial Engineering 2020Machine Learning Portfolio Allocation 2012Performance Analysis and Optimal Selection of Large Minimum Variance Portfolios Under Estimation Risk 2013Fama and French Three-Factor Model: Evidence from Istanbul Stock Exchange 2014Functional Dynamic Factor Model for Intraday Price Curves 2016Linked linear mixed models: A joint analysis of fixation locations and fixation durations in natural reading 2015Risk, return and mean‐variance efficiency of Islamic and non‐Islamic stocks: evidence from a unique Malaysian data set

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Year2010

Typebook

Published2010-11-05

VenueSpringer texts in statistics

ISSN-L1431-875X

Languageen

Citations262

Files0 public / 0

ShelfFinancial Risk and Volatility Modeling

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doi10.1007/978-1-4419-7787-8

openalex_workW1559535630

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