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In finance, correlation trading is a strategy in which the investor gets exposure to the average correlation of an index.. The key to correlation trading is being able to predict when future realized correlation amongst the stocks of a particular index will be greater or less than the "implied" correlation level derived from derivatives on the index and its single stocks.
A correlation swap is an over-the-counter financial derivative that allows one to speculate on or hedge risks associated with the observed average correlation, of a collection of underlying products, where each product has periodically observable prices, as with a commodity, exchange rate, interest rate, or stock index.
Step 1: Select the desired time series data. The time series data can be daily closing prices, daily trading volumes, daily opening prices, and daily price returns. Step 2: For a particular time series selected from step 1, find the cross correlation for each pair of stocks using the cross correlation formula.
"The chart shows the sharp reversal in correlations between stocks and yields that occurred in December. This was the main reason stocks struggled into year end and for the first week of the year.
Diversification and portfolio insurance; The strong negative correlation between the S&P/ASX 200 VIX and the S&P/ASX 200 means the addition of S&P/ASX 200 VIX Futures to a portfolio may deliver diversification benefits in a world where negative correlations are becoming harder to find (witness the rising correlation between international equity markets and the rising equity-bond correlation).
The binomial correlation approach of equation (5) is a limiting case of the Pearson correlation approach discussed in section 1. As a consequence, the significant shortcomings of the Pearson correlation approach for financial modeling apply also to the binomial correlation model.