Search
× Search
Sunday, December 22, 2024

Archived Discussions

Recent member discussions

The Algorithmic Traders' Association prides itself on providing a forum for the publication and dissemination of its members' white papers, research, reflections, works in progress, and other contributions. Please Note that archive searches and some of our members' publications are reserved for members only, so please log in or sign up to gain the most from our members' contributions.

PortfolioEffect Volatility and Risk Factors Database available on Quandl.

photo

 Aleksey Zemnitskiy, Head of Quant Development at PortfolioEffect

 Thursday, October 1, 2015

PortfolioEffect Volatility and Risk Factors Database now available on Quandl! https://www.quandl.com/data/PE Database offers data on volatility and other risk factors for more than 8,000 financial instruments, including stocks, stock indices and ETFs traded on major US exchanges. It is updated daily with detailed history going back to 2013. Price metrics are computed based on a time series of high frequency returns processed by PortfolioEffect's next-gen automated model pipeline for market microstructure noise, price jumps and outliers, fat distribution tails and long memory (fractality). Using high frequency data dramatically improves precision of estimates by using more up-to-date price points. More details: https://www.quandl.com/data/PE/documentation/documentation Available Metrics: RET Average return (expected return) VAR Variance (volatility, squared standard deviation) of price returns SKEW Skewness of price returns KURT Kurtosis of price returns MOM3 3rd moment of price returns MOM4 4th moment of price returns ALPHA Alpha (Jensen's alpha, excess return, ex-post alpha) of price returns BETA Beta (market sensitivity) of price returns HURST Hurst exponent (long memory measure) of price returns FDIM Fractal dimension of price returns


Print

Please login or register to post comments.

TRADING FUTURES AND OPTIONS INVOLVES SUBSTANTIAL RISK OF LOSS AND IS NOT SUITABLE FOR ALL INVESTORS
Terms Of UsePrivacy StatementCopyright 2018 Algorithmic Traders Association