New test improves accuracy of autocorrelation in stock market data.
The article introduces new tests for checking patterns in data that are more accurate when there are different levels of variability in the data. These tests work better with small amounts of data and when the length of time between data points is not correctly identified. The tests were applied to data from two companies on the Pakistan Stock Exchange, showing improved performance compared to existing methods.