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Portfolio At Risk | Quant at Risk

http://www.quantatrisk.com/category/portfolio-at-risk

VBA for Risk Managers. Blockchain for Finance with Python. Warsaw, Poland (May 2017). London, UK (Jul 2017). Warsaw, Poland (Mar 2017). Quantitative Analysis, Risk Management, Modelling, Algo-Trading, Blockchain for Finance. Predicting Heavy and Extreme Losses in Real-Time for Portfolio Holders (2). December 6, 2015. This part is awesome. Trust me! Previously, in Part 1. We found that this methods fails if the benchmark never experienced a loss of $L’$. In both cases, the lack of information on the occur...

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Time-series | Quant at Risk

http://www.quantatrisk.com/tag/time-series

VBA for Risk Managers. Blockchain for Finance with Python. Warsaw, Poland (May 2017). London, UK (Jul 2017). Warsaw, Poland (Mar 2017). Quantitative Analysis, Risk Management, Modelling, Algo-Trading, Blockchain for Finance. N-CryptoAsset Portfolios: Identifying Highly Correlated Cryptocurrencies using PCA. March 31, 2017. IMHO, there is nothing more exciting these days than researching, analysing, and a good understanding of cryptocurrencies. Powered by blockchain technology. 8216; (PCA) feature allowin...

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Risk | Quant at Risk

http://www.quantatrisk.com/tag/risk

VBA for Risk Managers. Blockchain for Finance with Python. Warsaw, Poland (May 2017). London, UK (Jul 2017). Warsaw, Poland (Mar 2017). Quantitative Analysis, Risk Management, Modelling, Algo-Trading, Blockchain for Finance. Computation of the Loss Distribution not only for Operational Risk Managers. June 5, 2016. In the Operational Risk Management. One needs to consider. Separately and carefully. And it’s a tough one. A good question “why? Variable into that equation: the loss frequency distribution.

quantatrisk.com quantatrisk.com

Portfolio | Quant at Risk

http://www.quantatrisk.com/tag/portfolio

VBA for Risk Managers. Blockchain for Finance with Python. Warsaw, Poland (May 2017). London, UK (Jul 2017). Warsaw, Poland (Mar 2017). Quantitative Analysis, Risk Management, Modelling, Algo-Trading, Blockchain for Finance. N-CryptoAsset Portfolios: Identifying Highly Correlated Cryptocurrencies using PCA. March 31, 2017. IMHO, there is nothing more exciting these days than researching, analysing, and a good understanding of cryptocurrencies. Powered by blockchain technology. 8216; (PCA) feature allowin...

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OHLC time series in Quantlib. Below is a demo code creating a QuantLib. 8216;, thereafter) object with OHLC (Open, High, Low, Close) data extracted from a standard *.csv file. Class which is a container for historical data. It can be used for simple date/quote time series (eg here. Nice thing is that is can also be overloaded with. To create OHLC objects. For some reason,. Returns OCHL objects (? Below is the diff. Mode: c ; tab-width: 4; indent-tabs-mode: nil; c-basic-offset: 4 -*- */. Safe Mid price, r...

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QuantCorner | Algorithmic Trading and Cybershares

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