What is forward rate
What is forward rate Hey guys, it's William Jiamin here. In this video, I'm going to share with you the concept of forward rates. So, let's use an example to…
What is spot rate?
What is spot rate? Hey guys, it's William Jiamin here. In this video, I want to talk about a concept called spot rate. So, let's draw an example to explain…
What is the forward pricing model
What is the forward pricing model Hi, it's William Jiamin here. In the previous video, we discussed forward rates and how they can be used in the forward pricing model…
Understanding Dummy Variables in Regression Analysis
Dummy variables in statistics represent binary (on/off) conditions and are used to measure the impact of categorical factors on a dependent variable. For instance, they can test if stock returns…
What is the 7 steps of capital market expectations in the portfolio management process?
What is the 7 steps of capital market expectations in the portfolio management process? Short answer: I made this flow chart as follows: Long answer: I wrote some funny story…
How to do the interpreting the Multiple Regression Results ?
For the intercept term, a multiple regression's estimated regression coefficients are interpreted similarly to a basic linear regression, but differently for the slope coefficients: When all of the independent variables…
What is the usage of p-value in statistics ?
The p-value is used to assess whether the slope coefficient is equal to zero, which is the null hypothesis. The null hypothesis can be rejected at this level of significance,…
What is QQ plot and how to interpret it ?
A QQ (Quantile-Quantile) plot is a visual tool for determining if a collection of data fits a specific theoretical distribution. Although it can be used to evaluate various types of…
What is residual?
The difference between the actual value, Yi, and the predicted value resulting from the regression is the residual.
What is the application of the multiple linear regression model?
The ability to take into account several underlying influences (independent variables) on the dependent variable makes multiple linear regression a significant tool for understanding investment issues. It can be applied…