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Specifically, stocks with steeper implied volatility smiles (i.e., higher jump risk) have higher expected returns, consistent with the equity premium puzzle. The author argues that this relationship between the slope of the implied volatility smile and stock returns can be explained by investors' preference for jump risk.
Two instruments with different volatilities may have the same expected return, but the instrument with higher volatility will have larger swings in values over a given period of time. For example, a lower volatility stock may have an expected (average) return of 7%, with annual volatility of 5%.
A riskier stock will have a higher beta and will be discounted at a higher rate; less sensitive stocks will have lower betas and be discounted at a lower rate. In theory, an asset is correctly priced when its observed price is the same as its value calculated using the CAPM derived discount rate.
Higher volatility implies a higher likelihood of large price swings, which may lead to higher potential losses. Portfolio management: Understanding the volatility of individual assets helps in ...
After nearly six months of extreme volatility during which the Dow experienced its largest one-day point loss, largest daily point gain, and largest intraday range (of more than 1,000 points) at the time, the index closed at a new 12-year low of 6,547.05 on March 9, 2009, [61] its lowest close since April 1997. The Dow had lost 20% of its value ...
If the market expects a major price movement in the stock, implied volatility will be high. This increased volatility makes the option more valuable since there’s a higher probability of the ...
So investors have two big ways to win in the stock market: Buy a stock fund based on an index, such as the S&P 500, and hold it to capture the index’s long-term return. However, its return can ...
Nicholas Barberis and Wei Xiong have depicted the disposition impact as the trade of individual investors are one of the most important realities. The influence, they note, has been recorded in all the broad individual investor trading activity databases available and has been linked to significant pricing phenomena such as post-earnings announcement drift and momentum at the stock level.