This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
In the years that I have taught these two classes, I find myself using my corporate finance framework constantly, when valuing companies, and bringing my understanding of valuation into play, when examining how companies should make investing, financing and dividend decisions.
The overall impact of corporate aggregate distributions depends on the magnitude of such distributions and their covariation with institutional-level flows. Our article formalizes these insights, showing how fund fees, capital gains returns, dividend and capital gains distributions, and balance sheet effects shape institutional growth.
Beta is calculated using historical price data, asset returns, market index returns, covariance, and variance. Step 3: Calculate Covariance Determine the covariance between the asset returns and the market returns. Covariance measures the degree to which two variables move together.
In this class, I start by looking at data collection and data descriptives , before moving on to distributions and data relationships (correlations, covariances and regressions) and closing with probabilities and probabilistic tools.
We organize all of the trending information in your field so you don't have to. Join 8,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content