801 search results for "finance"

Learning Kernels SVM

September 25, 2012
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Learning Kernels SVM

Machine Learning and Kernels A common application of machine learning (ML) is the learning and classification of a set of raw data features by a ML algorithm or technique. In this context a ML kernel acts to the ML algorithm … Continue reading →

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ProbaPerception: Introduction

September 21, 2012
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ProbaPerception: Introduction

Obviousness of REITs?

September 20, 2012
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Obviousness of REITs?

I very much enjoy papers such as Antonacci, Gary, Risk Premia Harvesting Through Momentum (September 5, 2012). Available at SSRN: http://ssrn.com/abstract=2042750 or http://dx.doi.org/10.2139/ssrn.2042750 Faber, Mebane T., A Quantitative Approach to T...

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Stock Market and US elections

September 19, 2012
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Stock Market and US elections

Quantitative Finance, Technical Trading & Analysis. Fotis Papailias, Dimitrios Thomakos Fotis Quantitative Finance & Technical Trading Stock Market and US elections We made a very simple R file that historically gathers the period before and after the US elections. The inexperienced user has the ability to set the tickers of asset she wants to study and the look-back and look-forward...

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Scholarly metadata from R

September 17, 2012
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Metadata! Metadata is very cool. It's super hot right now - everybody is talking about it. Okay, maybe not everyone, but it's an important part of archiving scholarly work. We are working on a repo on GitHub rmetadata to be a one stop shop for quer...

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Extending Gold time series

September 10, 2012
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Extending Gold time series

While back-testing trading strategies I want all assets to have long history. Unfortunately, sometimes there is no tradeable stock or ETF with sufficient history. For example, I might use GLD as a proxy for Gold allocation, but GLD is only began trading in November of 2004. We can extend the GLD’s historical returns with its

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Not fooled by randomness

September 10, 2012
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Not fooled by randomness

The paper is “Not Fooled by Randomness: Using Random Portfolios to Analyze Investment Funds” by Roberto Stein.  Here is an explanation of the idea of random portfolios. Favorite sentence The real question here is whether we’re actually measuring skill, or these are still measures of performance, so influenced by extraneous factors that the existence of … Continue reading...

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Thalesians, and other events

September 5, 2012
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Thalesians, and other events

Featured Thalesians, London 2012 September 12. Chia Tan on “Practical Financial Modeling”. Abstract: Financial modelling is not a competition in the mastery of complexity. Rather, the aim is to come up with the simplest models adequate to capture salient market features of traded products. There exists a wide gulf between material covered by traditional books … Continue reading...

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A look at Bayesian statistics

September 3, 2012
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A look at Bayesian statistics

An introduction to Bayesian analysis and why you might care. Fight club The subject of statistics is about how to learn.  Given that it is about the unknown, it shouldn’t be surprising that there are deep differences of opinion on how to go about doing it (in spite of the stereotype that statisticians are accountants … Continue reading...

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New Attribution Functions for PortfolioAnalytics

September 1, 2012
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New Attribution Functions for PortfolioAnalytics

Another Google Summer of Code (GSoC) project this summer focused on creating functions for doing returns-based performance attribution. I’ve always been a little puzzled about why this functionality wasn’t covered already, but I think that most analysts do this kind of work in Excel. That, of course, has its own perils. But beyond the workflow

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