Beta by definition is a measure which indicates the price movements for a given stock with reference to the overall market movement i.e. index in this case. A higher beta value means that the stock fluctuations will be higher on both up and down side with reference to the overall market (index). It's a very basic statistical measure.
I was trying to evaluate the beta of my own portfolio, and the first basic step is to calculate the beta for a given stock. Though, this information is readily available online, knowing the basics is always better. Therefore, I decided to look at calculating the beta for a given stock.
In the current example, I have used NIFTY (index) and ICICI Bank (stock in question) to calculate beta for the last three months data.
I was trying to evaluate the beta of my own portfolio, and the first basic step is to calculate the beta for a given stock. Though, this information is readily available online, knowing the basics is always better. Therefore, I decided to look at calculating the beta for a given stock.
In the current example, I have used NIFTY (index) and ICICI Bank (stock in question) to calculate beta for the last three months data.
- Figure out stock (ICICI Bank in this case) in question, and the benchmark index (NIFTY in this case). I have used GOLDMAN BEES NIFTY ETF as the data was readily available
- Find out the closing prices, sorted in the descending order (new to old)
- Calculate the percentage difference e.g. for 13 Mar 2015, calculate the price movement for the stock as (C2-C3)/C2, which is actually the % change in price from the previous day
- Format the cells to percentage with two decimal places
- Calculate the price movement for the index as =(B2-B3)/B3
- Once we have all the data, we can use the following formula in excel to calculate the beta COVAR(E2:E62,D2:D62)/VAR(D2:D62)
- Beta for ICICIBank=COVAR(E2:E62,D2:D62)/VAR(D2:D62)=1.77 (based on the last three months data)
- It is quite obvious that larger the size of the data, more correct the number will be. For example, when I used one month data to calculate beta, it came at around 1.5 (one month) instead of 1.77 (three month).
To be continued..
vA
