Chapter II: Understanding Price Volatility behaviour is essential to assessing the risk associated with positions across different time spans. |
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This chart shows Volatility for Tyco, defined to be the price range as a portion of the average price: So, to derive the Daily Volatility on 12/17/2010 of 1.4%, the price range for the day (0.60) was divided by the average price (41.99). Daily Volatility (the daily range as a portion of the daily average price) is plotted in green. Blue is Weekly Volatility, which is the weekly range as a portion of the weekly average price. This is a different concept from the weekly average of daily volatility. For reference, the price is plotted in red. 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. Average Daily Volatility over the history of TYC has been 3% in contrast to the Average Quarterly Volatility of 27%. |
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You may be familiar with the "yield curve" which shows how interest bearing yields vary according to term. Each Volatility Curve is a snapshot in time. As the timespan across which Volatility is measured increases, the Volatility is expected to increase. However, as seen in this plot of the TYC Volatility Curve, the increase is not constant. |
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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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Similarly, the purple points on the top chart, the Quarterly Volatility Values, are subjected to frequency distribution here. |
Refined Volatility Risk Analysis for TYC : |
| In the news, Friday, February 18, 2011: An unfavorable condition has developed with Aetna Inc., ticker symbol AET. Also, there are breaking events concerning Dollar Tree, Inc. (DLTR) and First Niagara Financial Group Inc. (FNFG) |