Longitudinal Data
Definition of 'Longitudinal Data'The process of collecting sample observations from a larger population over a given time period. Longitudinal data is used in statistical and financial studies. |
|
Investopedia explains 'Longitudinal Data'The process of analyzing past return data for a given security is an example of using longitudinal data. By collecting daily, weekly or monthly return data, a financial analyst can determine past return trends, and calculate the stock's value at risk (VaR) using the historical method. |
Related Definitions
Articles Of Interest
-
Data Mining For Investors
Being an informed investor is extremely important, but where and how do you get the data for your research? -
The Importance Of Segment Data
Key financials often fail to provide insight into large cap companies. -
Where can I find historical stock/index quotes?
There is no shortage of internet sites that provide current stock quotes. Just about any large financial portal will let you to enter a ticker symbol to get the latest (15-minute delayed) quote. ... -
Quants: The Rocket Scientists Of Wall Street
Blend math, finance and computer skills to command a high - and well deserved - salary. -
5 ETFs Flaws You Shouldn't Overlook
Despite their popularity, exchange traded funds have some drawbacks that investors should know about. -
Using The Price-To-Book Ratio To Evaluate Companies
The P/B ratio can be an easy way to determine a company's value, but it isn't magic! -
Liquidity Vs. Solvency
Learn about the differences between these two words and how each one is used in the stock market. -
Calculating The Means
Learn more about the different ways you can calculate your portfolio's average return. -
Should You Invest Your Entire Portfolio In Stocks?
It is true that stocks outperform bonds and cash in the long run, but that statistic doesn't tell the whole story. -
The Uses And Limits Of Volatility
Check out how the assumptions of theoretical risk models compare to actual market performance.
Free Annual Reports