Really Dumb Beta Question

This may not be the right forum...

I have a project due tomorrow, and as part of it I need to calculate the beta of an ETF. I'm using the S&P 500 as a benchmark and looked up the historical prices for both over the past year, divided into weekly prices. I plugged this into excel and calculating the weekly returns for both the ETF and S&P. The ETF's weekly returns are columns B, row 2, and the S&P is in column D, row 2. (from newest to oldest returns)

I used the beta formula in excel: =(covar(B2:B55,D2:55))/(var(D2:D55)

Over the past year, the ETF has had -25% return, while the S&P has had a 2% return. However, I calculated the beta to almost 1 (it's like 0.98). How is this possible? If the beta is 1, shouldn't that mean it is performing almost the same as the S&P? What am I doing wrong, or I missing something here? I know this insanely stupid, but I would appreciate any help.

Thanks

 
Best Response

The formula looks good to me.

Try to use an alternative method to check, which is to calculate the slope of the regression equation between the returns: =slope(B2:B55,D2:D55)

If they yield the same answer, then it should be correct in my opinion.

The compounded yearly return should be irrelevant to the covariance between both of them. Beta captures the movement of the return of the ETF in response to the movement of the S&P return. If, for instance, the ETF suffers 3 consecutive losing days, say 5% each day, at the start of the year (or actually, any given point throughout the year), and then behave exactly like the S&P for the next 350 days, then the Beta will still be close to 1, while the return of the ETF would be far below the S&P due to the ~14% lost in the first 3 days.

 

Thanks for the reply.

To compound my stupidity, my follow up questions:

I actually tried the slope formula first, but it gave me a number that was 1.00xxxx. Then I tried the covariance way and I got like .98xxx. So they aren't even getting the same answer. I used the R^2 formula to, I only got 57%, so does that mean my data is wrong then?

By compounded yearly return, do you mean anything different than (end price-beg price)/beg year price? Because that's what I'm referring to when I say the ETF return -25%, but the S&P returned 2%.

So you're saying that despite having a Beta of 1, the ETF can so negatively out perform the S&P?

 

I'm pretty sure the discrepancy between the SLOPE function and the VAR/COVAR function is due to the fact that you use Population Variance/Covariance instead of Sample Var/Covar.

Try to play around using Var.S and Covariance.S instead of Var.P and Covariance.P. Try the other way around too, but don't mix P and S together.

No, there is no way your data is wrong lol. The Slope and the usual Variance/Covariance formulas are basically the same. It's how Excel calculate the Slope too.

Yes, I meant that. I said compounded because the end of year return is equal to the compounded daily returns throughout the year.

if you follow closely what I said in the previous post, you should get what I meant. I don't think my wording was that bad for that sentence. Basically, the idea is that the ETF could have had several bad/losing days, while for the rest of the year, it behaved almost like the S&P 500 (when S&P500 moved up 1%, it did too, etc).

Hope that helps.

 

Thanks for you help, I really appreciate it.

I guess I just always thought that a beta of 1, it meant the returns would be almost the same

What do you mean by population var vs sample var? What do you mean by "Try to play around using Var.S and Covariance.S instead of Var.P and Covariance.P. Try the other way around too, but don't mix P and S together."?

Thanks man!

 

you can also run a regression on the two different returns (just did this today in adv excel class actually). the covar method and slope method gave us different betas than the one listed on yahoo, but regression gave me almost the exact same (it was LMT with a beta of .71, we indexed it to VFINX). GOod Luck!

"History doesn't repeat itself, but it does rhyme."
 

Your first formula =(covar(B2:B55,D2:55))/(var(D2:D55) is missing a D before the 55 on the second input under the covar function. I don't think excel would accept that error, but I think you should check if you made an error there.

Did you try running a regression on the returns using the data analysis tool pack? see what you get.

By the way, did you choose a risk free rate and subtract it from both set of returns?

 
BubbaBaby:
Your first formula =(covar(B2:B55,D2:55))/(var(D2:D55) is missing a D before the 55 on the second input under the covar function. I don't think excel would accept that error, but I think you should check if you made an error there.

Did you try running a regression on the returns using the data analysis tool pack? see what you get.

By the way, did you choose a risk free rate and subtract it from both set of returns?

The missing D is just a typo on my part, its correct within excel. Good eye though.

Could you explain why I would need to choose a rf rate and subtract it from both sets of returns?

 

Those are functions on excel, use it like you would for any other functions.

For instance, previously you did =COVAR(D2:D55, B2:B55), now you use =Covar.S(D2:D55, B2:B55)

 

Bubba is correct, Y axis = S&P

BubbaBaby - Hmm, I'm majoring in a quantitative field, so I skipped my finance classes when they were about the math... I think it's important for him to understand why substracting Rf doesn't change the Beta too :)

 

Risk free rate isn't a constant, and the correct way is to subject the risk free rate. But the impact isn't huge if you're just calculating beta off of 1 year of returns, so probably not worth the pain in your ass...

 

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