Your Practice. Popular Courses. Fundamental Analysis Tools for Fundamental Analysis. Compare Accounts. The offers that appear in this table are from partnerships from which Investopedia receives compensation. This compensation may impact how and where listings appear. Investopedia does not include all offers available in the marketplace. Related Articles. Partner Links. Related Terms Log-Normal Distribution A log-normal distribution is a statistical distribution of logarithmic values from a related normal distribution.
Normal Distribution Normal distribution is a continuous probability distribution wherein values lie in a symmetrical fashion mostly situated around the mean. Understanding T Distribution A T distribution is a type of probability function that is appropriate for estimating population parameters for small sample sizes or unknown variances.
Mesokurtic Mesokurtic is a statistical term describing the shape of a probability distribution. Discover more about mesokurtic distributions here. What Is Excess Kurtosis? Excess kurtosis describes a probability distribution with fat fails, indicating an outlier event has a higher than average chance of occurring.
Kurtosis Kurtosis is a statistical measure used to describe the distribution of observed data around the mean. It is sometimes referred to as the "volatility of volatility. Investopedia is part of the Dotdash publishing family. Your Privacy Rights. To change or withdraw your consent choices for Investopedia. At any time, you can update your settings through the "EU Privacy" link at the bottom of any page. These choices will be signaled globally to our partners and will not affect browsing data.
We and our partners process data to: Actively scan device characteristics for identification. I Accept Show Purposes. Cheap stocks, also known as penny stocks, exhibit few large moves and become stagnant. However, even the few small price changes you will see at these depressed levels correspond to large percentage changes, because the base is so low. So the stock's return is normally distributed, while the price movements are better explained with a log-normal distribution.
The distribution of stock prices and returns will help you determine the probable gains and losses in your portfolio. If most stocks in your portfolio have traditionally exhibited large moves on both the up and the down side, your potential losses as well as gains are large.
Such a portfolio may be suited for a young investor, who has sufficient time until retirement to recover from a significant trading loss.
An investor closer to retirement, on the other hand, may be better off with a portfolio that is less likely to gain or lose very much. Hunkar Ozyasar is the former high-yield bond strategist for Deutsche Bank. At the center of everything we do is a strong commitment to independent research and sharing its profitable discoveries with investors. This dedication to giving investors a trading advantage led to the creation of our proven Zacks Rank stock-rating system.
These returns cover a period from and were examined and attested by Baker Tilly, an independent accounting firm. Visit performance for information about the performance numbers displayed above.
The videos signpost the reading contents, explain the concepts and provide additional context for specific concepts. The fun light-hearted analogies are also a welcome break to some very dry content. I usually watch the videos before going into more in-depth reading and they are a good way to avoid being overwhelmed by the sheer volume of content when you look at the readings.
A great curriculum provider. James sir explains the concept so well that rather than memorising it, you tend to intuitively understand and absorb them. Thank you! Grateful I saw this at the right time for my CFA prep. Very well explained and gives a great insight about topics in a very short time. Glad to have found Professor Forjan's lectures.
Great support throughout the course by the team, did not feel neglected. QBank is huge, videos are great. Would recommend to a friend. Professor Forjan is brilliant.
0コメント