An overview of the annual average returns and market returns (2000-2005)

By Riya Jain & Priya Chetty on October 22, 2020

The previous article presented the categorization of the 303 BSE 500 listed stocks into 220 growth, 45 value, and 16 income stocks. This article compares the annual average returns against the market returns for the time period 1st April 2000 to 31st March 2020 into 5 different groups:

  1. April 1, 2000 – March 31, 2005
  2. April 1, 2005 – March 31, 2010
  3. April 1, 2010 – March 31, 2015
  4. April 1, 2015 – March 31, 2020
  5. April 1, 2000 – March 31, 2020

The comparison helps identify stocks that are performing better than the market average. This makes it easier for investors to select the best stocks to invest in.

Understanding annual average returns and market returns

Annual average returns state the mathematical average of returns for the desired stock series earned annually over a period of time. It represents the simple average of the daily stock prices. Therefore, the annual average return tells an investor what the performance of the stock has been in the past.

Annual average returns
Annual average returns (Tracy, 2020)

Wherein the return for each of the stock is computed as:

Stock returns
Stock returns (Hargrave, 2019)

Herein, a daily dividend is exempted from the return due to the absence of data.

On the other hand, market returns represent the market portfolio including all the assets with the value-based weighted portfolio. In simpler terms, annual average returns define the annual return of a particular stock while the market returns are a weighted sum of all stocks traded in the financial market.

Stocks yielding a return higher than the market return tend to put investors in the top position along with giving them the advantage of earning more profit. There are three categories of stocks:

  1. growth,
  2. income, and
  3. value stocks.

Investors make use of quantitative analysis to compare annual average returns with market returns (Shah, Isah, & Zulkernine, 2019). This comparison not only provides information about the nature of stocks but also supports investors with more detailed information regarding the desired benefit from performance analysis.

Comparison of annual average returns and market returns from 1st April 2000 to 31st March 2005

Growth stocks

For the period 1st April 2000 to 31st March 2005, the comparison between the annual average returns and the market returns was done to examine the performance of stocks. The results are represented in table 1 below. Growth stocks have a major potential to earn compared to other stocks. These annual average returns satisfy the property of growth stocks and yielded a high mean value i.e. 0.280 compared to the mean value of the market return of 0.163. However, in the presence of high variability in the market, the standard deviation and variance level are also high i.e. 0.607 and 0.368 against market return values of 0.520 and 0.270.

Moreover, the minimum level of return is -0.316 compared to the market minimum return of -0.297. The skewness value for both the returns is above 0.5 and less than 1, representing a moderately positive skewed dataset. However, there is slightly high skewness in the market returns i.e. 0.878 > 0.585 representing more asymmetry in the market returns. Kurtosis value further shows that with the market return value of 2.468, which is close to 3 but the average returns value is 2.132. Therefore, there are more extreme values in the average returns. Thus, due to the dynamism in the growth stock market, there is more variation in the returns earned by the investors for the period 1st April 2000 to 31st March 2005.

VariableMeanSt. deviationMinMaxVarianceSkewnessKurtosisMedian
Average Return0.2800.607-0.3161.2070.3680.5852.1320.335
Market Return0.1630.520-0.2971.0080.2700.8782.4680.169
Table 1: Descriptive analysis of Growth stock returns

Income stocks

Income stocks provide a steady source of income and dodge the volatility of the market. Table 2 below depicts that the mean value of the average return is greater than the market return (0.253 > 0.163). Compared to the growth stock, the mean average return is less. However, the standard deviation and the variability due to high volatility in the market are high i.e. 0.773 and 0.597 against 0.520 and 0.270. The minimum level of the income stocks’ average returns for the period is less than the growth stocks i.e. -0.453 but the maximum level is high i.e. 1.427 thus covering the high variability of the market.

The skewness value for the stocks is between 0.5 and 1, representing moderate positive skewness. However, the level asymmetry present in the income stocks is greater than in the growth stocks i.e. 0.703. The kurtosis level further shows that the value of the average return is 1.959 which is even less than the growth stocks. Thus, there are more extreme values present in the stocks. Hence, for the period 1st April 2000 to 31st March 2004, there has been high variability in the returns due to volatility with the existence of more extreme values compared to the growth stocks.

VariableMeanSt. deviationMinMaxVarianceSkewnessKurtosisMedian
Average Return0.2530.773-0.4531.4270.5970.7031.959-0.126
Market Return0.1630.520-0.2971.0080.2700.8782.4680.169
Table 2: Descriptive analysis of Income stock returns

Value stocks

Value stocks are issued by undervalued companies, therefore have fluctuating returns with less stability. Table 3 below represents the analysis of value stocks. The mean value of the value stocks’ average return shows a higher value of 0.462. Furthermore, the existence of the highest standard deviation and variance values compared to growth and income stocks i.e. 0.782 and 0.612 depicts the undervalued nature of stocks which led to less stability in the market. The minimum and maximum values of the stocks are highest i.e. -0.174 and 1.719 depicting the probability of having growth in the future.

The skewness value of the stock is also between 0.5 and 1 representing moderately positive skewness, however, the level is high compared to growth and income stocks thus showing the presence of high asymmetry in the returns. A kurtosis value of 2.318 is high compared to other stocks by supporting the presence of less extreme values. Hence, value stocks for the period 1st April 2000 to 31st March 2005 depict that due to the undervaluation of stocks and less stability, there has been an opportunity of gaining albeit with the presence of high variability.

VariableMeanSt. deviationMinMaxVarianceSkewnessKurtosisMedian
Average Return0.4620.782-0.1741.7190.6120.8942.3180.179
Market Return0.1630.5200.2971.0080.2700.8782.4680.169
Table 3: Descriptive analysis of value stock returns

Opportunity for higher profits in value stocks

Growth stocks though are considered as the source of higher profits for investors (Cussen, 2019) but for the period 1st April 2000 to 31st March 2005, value stocks showed better performance. With the presence of a higher annual average return in comparison to the market return and the better-earning possibility compared to the growth and income stocks, value stocks provided better returns to investors. For risk-averse investors due to the presence of high volatility, the investment is not appropriate. Since rational investors intend to reduce the risk of loss, they would opt for growth stocks with comparatively low risk. However, the presence of uncertainty in the financial market changes the investment opportunity for rational investors.



Priya is the co-founder and Managing Partner of Project Guru, a research and analytics firm based in Gurgaon. She is responsible for the human resource planning and operations functions. Her expertise in analytics has been used in a number of service-based industries like education and financial services.

Her foundational educational is from St. Xaviers High School (Mumbai). She also holds MBA degree in Marketing and Finance from the Indian Institute of Planning and Management, Delhi (2008).

Some of the notable projects she has worked on include:

  • Using systems thinking to improve sustainability in operations: A study carried out in Malaysia in partnership with Universiti Kuala Lumpur.
  • Assessing customer satisfaction with in-house doctors of Jiva Ayurveda (a project executed for the company)
  • Predicting the potential impact of green hydrogen microgirds (A project executed for the Government of South Africa)

She is a key contributor to the in-house research platform Knowledge Tank.

She currently holds over 300 citations from her contributions to the platform.

She has also been a guest speaker at various institutes such as JIMS (Delhi), BPIT (Delhi), and SVU (Tirupati).


I am a master's in Economics from Amity University. Having a keen interest in Econometrics and data analysis, I was a part of the Innovation Project of Daulat Ram College, Delhi University. My core expertise and interest are in environment-related issues. Apart from academics, I love music and exploring new places.