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Backtesting

Backtesting Guide
Glossary
Stump The Quant!

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Glossary of Backtesting Terms
This page describes some backtesting terms and concepts. The list, while not exhaustive, should enhance your understanding of the prompts encountered when performing backtests with Zacks software and the information contained in Backtest reports.
Benchmark: The standard of comparison for the performance of a portfolio. The portfolio performance may be compared against the full universe of companies in a databases, an index (e.g., the S&P 500 index), or another portfolio.

Benchmark Return: The holding period return of the selected benchmark over a specified period of time.

Beta: The estimated sensitivity of a stock's return to the returns of a broad-based index (S&P 500).

Bias, look-ahead: Using data in a backtest that was not available as of the date that it was used. Example: calculating a P/E ratio on December 31 using calendar year-end earnings that were not available until at least one month later.

Bias, Survivor: When studying what would have happened in the past, it is necessary to include the companies that have disappeared as well as those still in business. Example: screening for money losing companies with stock price bellow $10 as a value selection model will yield above normal return if non-surviving companies are excluded. Companies that "go research" through acquisitions will also influence your results. Use of Zacks backtesting databases (containing both the current active and research companies) alleviates this problem.

Delta: The difference between the mean and the benchmark return.

Excess Return: The difference between the Portfolio Return and the benchmark Return for one time period.

Holding Period Return (HPR): The total return for a stock form a base or starting date over a specified period of time. (Zacks HPR's are "forward-looking" - that is, the HPR value for January 31, 20XX represents the return on the stock that would be earned during the month of February. In the context of backtesting, this convention is necessary because when a stock is purchased on January 31, the holding period return of interest would be that earned after the purchase date.

Information Coefficient (IC): A Spearman Rank Correlation coefficient, which describes the linear correlation between two ranked variables. The ranks may be fractiles or ordinal ranks. The coefficient can range in value from -1 (perfect negative correlation) to +1 (perfect positive correlation).

The IC is frequently used in backtesting because it is not subject to the limitations imposed by assuming that the distribution of a test variable is normal (i.e., there are no extreme outlier values).

Outliers: Extreme values for a database item. Outliers may be the result of data entry errors, or may be a consequence of the nature of the underlying data. A common example is the P/E ratio for a company which, for several years, has reported EPS of 40-50 cents per share, but for the current year reports minimal earnings (e.g., $0.01 per share). A market price of $15 would then result in a P/E of 1500.

Performance Measure Item: Generally, a database item used to calculate portfolio and stock returns (1 month HPR).

Test Variable: A database item on which a backtest will be performed.

Turnover: A measure of the change in a portfolio's holdings over a period of time. Portfolio turnover has significant implications for the performance of a portfolio; allowing high turnover in an attempt to capture the best performance will result in high trading cots.

 

 

 

 
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