What is Historical Volatility (HV)?
Historical volatility (HV) statistically measures the return distribution for a securities or market index over time. This metric typically calculates the average deviation from the average price of a financial instrument over a specific period. Calculating historical volatility typically uses the standard deviation, although other methods exist. Higher historical volatility means riskier security. Risk can be bullish or bearish; therefore, the result is not always negative.
Knowing Historical Volatility
Historical volatility, while helpful, does not directly quantify the likelihood of loss. It measures the deviation of a security’s price from its mean value.
In trending markets, historical volatility quantifies the deviation of traded prices from a central average (moving average). A smooth, intensely moving market can maintain minimal volatility despite significant price changes. Its value changes steadily over time.
Comparing this indicator with implied volatility helps identify overvalued or undervalued options. All risk valuations utilize historical volatility. Stocks with historically solid volatility demand a higher risk tolerance. In high-volatility markets, higher stop-loss levels and perhaps greater margins are necessary.
HV is used in technical studies like Bollinger Bands and option pricing. These bands shrink and extend around a central average in response to standard deviation fluctuation.
Historic Volatility
Many traders and investors profit from volatility, despite its negative reputation. Lack of movement in a stock or investment can lead to low volatility and limited capital gains. On the other hand, a volatile stock or asset might have significant profit potential and substantial costs. It might lose a lot. Proper trade timing is crucial since even the right market call can result in losses due to huge price swings triggering stop-loss or margin calls.
Therefore, volatility levels should be at the center, which varies by market and stock. Comparing peer securities can help define “normal” volatility.
