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Volatility is defined as the price range for a period, divided by the average price for the period: For instance, on 2/5/2010 the average price was 6.41 with a range of 0.17, indicating a Daily Volatility of 2.6%. The Daily Volatility is obtained by dividing the daily range by the daily average. A longer Volatility period such as Weekly Volatility is obtained by dividing the weekly price range by the weekly mean price. This is a different concept from the weekly average of daily volatility. The red plot shows the actual price. The remaining marks on the plot correspond to the Volatility measured across several time intervals. According to academic theory, Volatility is exactly equal to Risk. But investors often make a distinction between these two concepts. The different character of Volatility as seen in different time frames, lends some support to the investor's view. During 30 years, the Average Quarterly Volatility of MOT stock price has been 30% while the Average Daily Volatility has been 3%. |
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You may be familiar with the "yield curve" which shows how interest bearing yields vary according to term. These Volatility Curves each apply to a discrete time interval. From left to right, each position plots the Volatility associated with increasing intervals of time. The relationship between the length of time, and the expected change in price, is not linear, as is demonstrated by this chart. |
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This histogram is a frequency distribution of Daily Volatility, corresponding to the green points on the first chart on this page. |
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In a similar vein, the Frequency Distribution of the Quarterly Volatility is plotted here. This is the distribution of the values plotted in purple on the top chart from this page. |
Refined Volatility Risk Analysis for MOT : |
| In the news, Friday, February 05, 2010: A favorable condition has developed with United Technologies, ticker symbol UTX. Also, there are breaking events concerning ACM Income Fund (ACG) and MicroSoft (MSFT) |