The random walk
theory is the occurrence of an event determined by a series of random
movements - in other words, events that cannot be predicted.Applying the random
walk theory to finance and stocks suggests that stock prices change randomly,
making it impossible to predict stock prices. The random walk theory
corresponds to the belief that markets are efficient,
and that it is not possible to beat or predict the market because stock prices
reflect all available information and the occurrence of new information is
seemingly random as well.
The random walk theory is in direct opposition to technical
analysis, which contends that a stock's future price can be
forecasted based on historical information through observing chart patterns and
technical indicators.
To test the random walk theory, the stock price of Prime
Commercial Bank Limited is taken. The stock price from 18st March
2013 to 29th July 2013 is taken as a sample data. The 90 days
trading data is analyzed to check the randomness of stock price of Prime
Commercial Bank Ltd. The result are summarized below:
Runs Test
|
|
|
Price_PCBL
|
Test Valuea
|
323.7444
|
Cases < Test Value
|
37
|
Cases >= Test Value
|
53
|
Total Cases
|
90
|
Number of Runs
|
20
|
Z
|
-5.383
|
Asymp. Sig. (2-tailed)
|
.000
|
a. Mean
|
The runs test can be used to decide if a data set is from a
random process.A run is defined as a series of increasing values or a series of
decreasing values. The number of increasing, or decreasing, values is the
length of the run. In a random data set, the probability that the (I+1)th value
is larger or smaller than the Ith value follows a binomial
distribution, which forms the basis of the runs test.Run represents
the no of times the stock price was changed from the mean value.
The observation shows that, the mean stock value over the period of 90 trading
days is Rs. 323.74 The stock value remains below the mean price for 37 days, and
remaining 53 days, it is above the mean price. So, during the course of price
change, the price changes 20 times around the mean value, which is called
number of runs. From the table, the significance value is 0.00
hence the stock price of Prime Commercial Bank does not follow random pattern.
Autocorrelation is a
mathematical representation of the degree of similarity between a given time
series and a lagged version of itself over successive time intervals. It is the
same as calculating the correlation between two different time series, except
that the same time series is used twice - once in its original form and once
lagged one or more time periods.The term can also be referred to as
"lagged correlation" or "serial correlation". From the
data, the autocorrelation in stock price can be shown in following table.
Autocorrelations
|
|||||
Series:Price_PCBL
|
|||||
Lag
|
Autocorrelation
|
Std. Errora
|
Box-Ljung Statistic
|
||
Value
|
df
|
Sig.b
|
|||
1
|
.739
|
.104
|
50.836
|
1
|
.000
|
2
|
.561
|
.103
|
80.443
|
2
|
.000
|
3
|
.405
|
.103
|
96.080
|
3
|
.000
|
4
|
.273
|
.102
|
103.250
|
4
|
.000
|
5
|
.175
|
.101
|
106.232
|
5
|
.000
|
6
|
.130
|
.101
|
107.892
|
6
|
.000
|
7
|
.075
|
.100
|
108.451
|
7
|
.000
|
8
|
-.020
|
.100
|
108.492
|
8
|
.000
|
9
|
-.119
|
.099
|
109.929
|
9
|
.000
|
10
|
-.181
|
.098
|
113.306
|
10
|
.000
|
11
|
-.239
|
.098
|
119.269
|
11
|
.000
|
12
|
-.255
|
.097
|
126.178
|
12
|
.000
|
13
|
-.263
|
.096
|
133.629
|
13
|
.000
|
14
|
-.228
|
.096
|
139.274
|
14
|
.000
|
15
|
-.235
|
.095
|
145.367
|
15
|
.000
|
16
|
-.224
|
.095
|
150.969
|
16
|
.000
|
a. The underlying process assumed is independence
(white noise).
|
|||||
b. Based on the asymptotic chi-square approximation.
|
Autocorrelation Test
Ho = there is no
autocorrelation i.e. the stock price are in random order.
H1 = there exist
autocorrelation and price does not follow random order.
From the autocorrelation
table, p-value of (1-16) lag is 0.00 therefore null hypothesis is rejected.
Hence the stock price of Prime Commercial Bank Ltd. doesn’t follow random
pattern. So, the stock price of Prime Commercial Bank Ltd. can be predicted
using past data.
Submitted By: Mr. Laxman Aryal
Apex College, Mnikkya
No comments:
Post a Comment