425 search results for "quantmod"

MINE: Maximal Information-based NonParametric Exploration

February 1, 2012
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MINE: Maximal Information-based NonParametric Exploration

There was a lot of buzz in the blogosphere as well as the science community about a new family of algorithms that are able to find non-linear relationships over extremely large fields of data. What makes it particularly useful is that the measure(s) it...

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Multiple Factor Model – Fundamental Data

January 28, 2012
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Multiple Factor Model – Fundamental Data

The Multiple Factor Model can be used to decompose returns and calculate risk. Following are some examples of the Multiple Factor Models: The expected returns factor model: Commonality In The Determinants Of Expected Stock Returns by R. Haugen, N. Baker (1996) The expected returns factor model: CSFB Quantitative Research, Alpha Factor Framework on page 11,

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Time Series Matching with Dynamic Time Warping

January 20, 2012
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Time Series Matching with Dynamic Time Warping

THIS IS NOT INVESTMENT ADVICE. The information is provided for informational purposes only. In the Time Series Matching post, I used one to one mapping to the compute distance between the query(current pattern) and reference(historical time series). Following chart visualizes this concept. The distance is the sum of vertical lines. An alternative way to map

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Time Series Matching strategy backtest

January 17, 2012
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Time Series Matching strategy backtest

This is a quick post to address comments raised in the Time Series Matching post. I will show a very simple example of backtesting a Time Series Matching strategy using a distance weighted prediction. I have to warn you, the strategy’s performance is worse then the Buy and Hold. I used the code from Time

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Time Series Matching

January 13, 2012
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Time Series Matching

THIS IS NOT INVESTMENT ADVICE. The information is provided for informational purposes only. If it looks like a duck, swims like a duck, and quacks like a duck, then it probably is a duck. Do you want to know what S&P 500 will do in the next week, month, quarter? One way to make an

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Trading using Garch Volatility Forecast

January 5, 2012
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Trading using Garch Volatility Forecast

Quantum Financier wrote an interesting article Regime Switching System Using Volatility Forecast. The article presents an elegant algorithm to switch between mean-reversion and trend-following strategies based on the market volatility. Two model are examined: one using the historical volatility and another using the Garch(1,1) Volatility Forecast. The mean-reversion strategy is modeled with RSI(2): Long when

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Were markets exceptionally volatile in 2011?

January 2, 2012
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Were markets exceptionally volatile in 2011?

2011 was a volatile year, no doubt about that, but was it exceptionally so from a historic point of view? To quantify the volatility, I used the Dow Jones Industrial average, which goes back to 1928 on Yahoo Finance: A volatile year no doubt, but once again confirming the fact that, in markets behaviour at

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Happy Holidays and Best Wishes for 2012

December 22, 2011
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Happy Holidays and Best Wishes for 2012

This is just a quick note to wish you and your family a very healthy and happy holidays and wonderful New Year! I hope you enjoyed reading my blog and thank you for your comments and emails. Here is a short R code that implements an interesting idea from the Charting the Santa Claus Rally

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Pairs Trading Issues

December 20, 2011
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Pairs Trading Issues

(This article was first published on Eran Raviv » R, and kindly contributed to R-bloggers) A few words for those of you who are not familiar with the “pairs trading” concept. First you should understand that the movement of every stock is dominated not by the companies performance but by the general market movement. This is the origin of...

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Rotational Trading Strategies: borrowing ideas from Engineering Returns

December 19, 2011
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Rotational Trading Strategies: borrowing ideas from Engineering Returns

Frank Hassler at Engineering Returns blog wrote an excellent article Rotational Trading: how to reduce trades and improve returns. The article presents four methods to reduce trades: Trade less frequently. I.e. weekly instead of daily rebalancing. Different criteria for enter / exit a trade. Smooth the rank over the last couple of bars. Combination of

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