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Is beta dead in Bursa? kcchongnz

kcchongnz
Publish date: Sat, 04 Jan 2014, 06:19 PM
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Is beta dead in Bursa?

We know that diversification reduces risks. But there is a limit the risks can be reduced. We can only reduce the idiosyncratic risks, or specific risk by having a diversified portfolio of stocks. We cannot do anything about the systematic risks, or the market risks. Interest rates, recessions, financial crisis and wars are examples of systematic risks. Therefore, when calculating a deserved return, systematic risk is what plagues investors most.

Beta is a way to measure the systematic risks in the "capital-asset pricing model" (CAPM). Beta measures a share's relative volatility - that is, it shows how much the price of a particular share jumps up and down compared with how much the stock market as a whole jumps up and down at the same time. If a share price moves exactly in line with the market, its beta is 1; if it rises by 15% when the market rises by 10%, it has a beta of 1.5; but if it rose by only 5%, it has a beta of 0.5. The more volatile a share relative to the market, the riskier it is, according to CAPM. The following link explains the CAPM and the use of beta.

http://www.investopedia.com/articles/06/capm.asp

According to CAPM, the expected return of a security r is given by the formula below:

r = rf + β*(rm - rf)

rf = Risk free rate

rm= expected return of the market

β= Beta of the security

(rm - rf)= Equity market premium

Rearranging the CAPM equation,

(r-rf ) = α + β*(rm - rf)

where α is excess return. If CAPM holds true, α should not be significantly different from 0.

Let us use the CAPM to determine if the stocks in my portfolio set up in January 2013 earns any excess returns from the market. My portfolio can be viewed from the following link:

http://klse.i3investor.com/servlets/pfs/13147.jsp

I will start with Kimlun. In this case we are using the realized return in place of the expected return to check if there is any excess return after the fact.

By plotting the daily returns of Kimlun in 2013 against the returns of KLCI, and fitting the best straight line, the β of Kimlun is obtained from the slope of the line, in this case 2.19. This means the stock price of Kimlun moves 2.2% when KLCI rises 1%. Kimlun returned 26% and the market (rm)14% for the year 2013. Hence,

(r-rf ) = (26%-3.5%)=22.5%, and

β*(rm - rf) = 2.19*(14%-3.5%) = 23% which is quite close to the above

Hence for Kimlun, its return fits in nicely with the CAPM.

The graph below shows the plot of the daily returns of Kimlun against the daily returns of KLCI for the last one year.

Figure 1: Return of Kimlun Vs return of KLCI

 

How about the other stocks in the portfolio? Are the return behaves according to the CAPM as Kimlun does? What about the portfolio itself? The table below summarizes the Greeks.

Table 1: systematic risks and excess returns

Stock

Kimlun

ECS

Plenitu

Ptaras

Kfima

Ntpm

SKPR

Pantech

Presbhd

Jobst

β

2.19

0.98

1.30

1.13

1.06

0.74

1.53

1.93

2.00

0.80

r

26.0%

16.0%

37.3%

94.0%

-1.5%

64.9%

-2.9%

32.7%

146.0%

111.0%

α

-0.5%

2.2%

20.2%

78.7%

-16.2%

53.7%

-22.5%

8.9%

121.5%

99.1%

 

It can be seen that the CAPM doesn’t work at all as the excess return, α, is generally not even anyway near zero.  Kumpulan Fima with β of 1.06, which has approximately the same systematic risk as KLCI, has an α of -16%, whereas Jobstreet which has a lower systematic risk of β of 0.80, has an excess return of 99%. Prestariang which has double the systematic risk at 2,0, has also a very high excess return of 122%. The α of all other stocks, are also significantly different from zero.

The assumed equally weighted portfolio of the stocks has a portfolio β of 1.37 and a return of 52.4%. Hence the excess return of the portfolio is (52.4%-3.5%)-1.37*(14%-3.5%) equals to 35%, also significantly different from zero.

From the realized return of the stocks and the portfolio, it is clear that the CAPM, or the use of β doesn’t really work that well.

So is beta dead in Bursa?

Discussions
2 people like this. Showing 10 of 10 comments

johnny cash

yes i notice many analyst does not use beta in their reports..most common ones are EPS,, ROE

2014-01-04 18:40

johnny cash

Post removed.Why?

2014-01-04 18:42

Pak Lah

Crazy and fanatic. That's what I can say.

2014-01-04 22:13

yfchong

Dear bro KC, your article is good and well explained.

2014-01-05 07:59

keanpoh

kcchongnz, beta does explain the relationship of a stock (or portfolio) return with the market risk (non-diversifiable risk). But when studying the beta, one should also consider the R-square, which measures how much the beta can be used to explain its relationship with the market risk.

I would use the beta as a simple guide or quick reference as to how risky (or volatile) the stock might be with reference to the historical return and that's all. Also note that the beta value changes as the historical time frame is used to run the regression. Furthermore, using a daily return, weekly return or monthly return for the regression will yield significant difference in the value of the beta. Daily return beta covers more information but is also affected by more noise. Maybe a monthly return beta is a better estimate.

2014-01-18 01:18

kcchongnz

keanpoh,

Excellent comments.

Many research has shown the anomalies in stock returns as opposed to the proposition of efficient market hypothesis and capital asset pricing model. Intuitively, I can't imagine the riskiness of a stock is governed by its volatility of its against the market return. But anyway, beta may be used just as a guide. Beta clearly has not explained well in the return of my portfolio above.

I am convinced that other factors such as price-to-book value, Price-to-cash flow, price-to-earnings, size effects and others would have more profound in the long-term return of stocks.

2014-01-18 06:25

lazynovice

Here it raises the question of whether beta (which is calculated based on historical data) is a reliable reference for future return, and according to your calculation above, it shows that it is likely not the case. However, your calculation is only based on data over a 1-year period, so i think it would be very interesting to make the same calculation again for the same portfolio over a longer period, maybe 3/4-years period?

2014-10-01 18:44

JeevS

Use adjusted beta, beta(new) = 0.67+beta*0.33 It will bring the value closer to 1 if you use daily or weekly data.

2014-12-17 00:40

kcchongnz

Think about it, may be Beta has some use in stock investing. When the market is expecting to go up, buy stocks with high beta. When the pendulum is higher up, change to lower beta stocks.

One can use JeevS's adjusted beta, may be.

2014-12-17 09:31

paperplane

beta?what beta

2020-09-09 08:43

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