Selection of the right proxy market portfolio for CAPM

2021 ◽  
Vol 18 (3) ◽  
pp. 16-26
Author(s):  
Rashmi Chaudhary ◽  
Priti Bakhshi
Keyword(s):  
Portfolio Management ◽  
Consumer Price Index ◽  
Composite Index ◽  
Macroeconomic Factors ◽  
Stock Market Returns ◽  
Macroeconomic Variables ◽  
Market Portfolio ◽  
The Right ◽  
Equity Indices ◽  
The Impact

The purpose of the paper is to select the right market proxy for calculating the expected return, since critically evaluating proxies or selecting the correct proxy market portfolio is essential for portfolio management because the change in the market portfolio proxy affects returns. In this study, monthly data of equity indices are evaluated to find out the better market proxy. The indices taken are BSE 30 (Sensex), Nifty 50, BSE 100, BSE 200, and BSE 500. The macroeconomic variables used in the study are industrial production index (IIP), consumer price index (CPI), money supply (M1), and exchange rate in India. To avoid the influence of COVID-19, the research period was from January 2013 to December 2019 to critically evaluate these proxies in order to find the most appropriate market proxy. This paper reveals a noteworthy relationship between stock market returns and macroeconomic factors, while suggesting that the BSE 500 is a better choice for all equity indices, as the index also shows a significant relationship with all macroeconomic variables. BSE500 is a composite index comprising all sectors with low, mid and large cap securities, therefore it reflects the impact of macroeconomic factors most efficiently, taking it as a market proxy. This study was carried out in the context of India and can be replicated for other countries.

Macroeconomic factors and stock returns: Evidence from the emerging market of Asia

2018 ◽  
Vol 5 (3) ◽  
pp. 16-20
Author(s):  
Muhammad Asad Saleem Malik ◽  
Saher Touqeer ◽  
Shumaila Zeb
Keyword(s):  
Exchange Rate ◽  
Stock Returns ◽  
Negative Impact ◽  
Positive Impact ◽  
Emerging Market ◽  
Consumer Price Index ◽  
Macroeconomic Factors ◽  
Macroeconomic Variables ◽  
Significant Negative Impact ◽  
The Impact

This study examines the impact of macroeconomic variables on stock returns of Pakistan, India and Sri Lanka for the period of 1997-2014. GMM approach is used to analyze the impact of macroeconomic variables on stock returns. Variables of the study were T-Bills, Exchange Rate, Consumer Price Index (CPI) and the Industrial Production Index (IPI). The results of study show that T-bills rate has significant negative impact while Exchange rate has a significant positive impact on the Stock Returns of the study period.

scholarly journals Conditional volatility nexus between stock markets and macroeconomic variables

2018 ◽  
Vol 45 (1) ◽  
pp. 77-99 ◽  
Author(s):  
Ghulam Abbas ◽  
David G. McMillan ◽  
Shouyang Wang
Keyword(s):  
Stock Market ◽  
Stock Markets ◽  
Market Volatility ◽  
Stock Market Volatility ◽  
Macroeconomic Factors ◽  
Stock Market Returns ◽  
Content Type ◽  
Macroeconomic Variables ◽  
Volatility Transmission ◽  
The Impact

Purpose The purpose of this paper is to analyse the relation between stock market volatility and macroeconomic fundamentals for G-7 countries using monthly data over the period from July 1985 to June 2015. Design/methodology/approach The empirical methodology is based on two steps: in the first step, the authors obtain the conditional volatilities of stock market returns and macroeconomic variables through the GARCH family of models. The authors also incorporate the impact of early 2000s dotcom and the global financial crises. In the second step, the authors estimate multivariate vector autoregressive model to analyze the dynamic relation between stock markets return and macroeconomic variables. Findings The overall results for G-7 countries indicate a weak volatility transmission from macroeconomic factors to stock market volatility at individual level but the collective impact of volatility transmission is highly significant. Although, the results of block exogeneity indicate a bidirectional causality except UK, but the causal linkage is quite weak from stock market to macroeconomic variables. Moreover, the local financial variables excluding interest rate are closely integrated, and the volatility of industrial production growth and oil price are identified as the most significant macroeconomic factors that could possibly influence the directions of stock markets. Originality/value This research establishes the nature of the links between stock market and macroeconomic volatility. Research to date has been unable to satisfactorily establish the empirical nature of such links. The authors believe this paper begins to do this.

Macroeconomic Factors and Pakistani Equity Market”

2004 ◽  
Vol 43 (4II) ◽  
pp. 619-637 ◽  
Author(s):  
Muhammad Nishat ◽  
Rozina Shaheen
Keyword(s):  
Stock Market ◽  
Industrial Production ◽  
Stock Prices ◽  
Stock Price ◽  
Consumer Price Index ◽  
Reverse Causality ◽  
Macroeconomic Factors ◽  
Macroeconomic Variables ◽  
Equilibrium Relationships

This paper analyzes long-term equilibrium relationships between a group of macroeconomic variables and the Karachi Stock Exchange Index. The macroeconomic variables are represented by the industrial production index, the consumer price index, M1, and the value of an investment earning the money market rate. We employ a vector error correction model to explore such relationships during 1973:1 to 2004:4. We found that these five variables are cointegrated and two long-term equilibrium relationships exist among these variables. Our results indicated a "causal" relationship between the stock market and the economy. Analysis of our results indicates that industrial production is the largest positive determinant of Pakistani stock prices, while inflation is the largest negative determinant of stock prices in Pakistan. We found that while macroeconomic variables Granger-caused stock price movements, the reverse causality was observed in case of industrial production and stock prices. Furthermore, we found that statistically significant lag lengths between fluctuations in the stock market and changes in the real economy are relatively short.

scholarly journals Macroeconomic Factors and Equity Prices: An Empirical Investigation by Using ARDL Approach

2008 ◽  
Vol 47 (4II) ◽  
pp. 501-513 ◽  
Author(s):  
Arshad Hasan ◽  
Zafar Mueen Nasir
Keyword(s):  
Empirical Studies ◽  
Testing Procedure ◽  
Bounds Testing ◽  
Macroeconomic Factors ◽  
Equity Prices ◽  
Macroeconomic Variables ◽  
Long Run ◽  
Ardl Approach ◽  
The Impact ◽  
The Relationship

The relationship between macroeconomic variables and the equity prices has attracted the curiosity of academicians and practitioners since the publication of seminal paper of Chen, et al. (1986). Many empirical studies those tested the relationship reveal that asset pricing theories do not properly identify macroeconomic factors that influence equity prices [Roll and Ross (1980); Fama (1981); Chen, et al. (1986); Hamao (1986); Faff (1988); Chen (1991); Maysami and Koh (2000) and Paul and Mallik (2001)]. In most of these studies, variable selection and empirical analyses is based on economic rationale, financial theory and investors’ intuition. These studies generally apply Eagle and Granger (1987) procedure or Johanson and Jusilieus (1990, 1991) approach in Vector Auto Regressor (VAR) Framework. In Pakistan, Fazal (2006) and Nishat (2001) explored the relationship between macroeconomic factors and equity prices by using Johanson and Jusilieus (1990, 1991) procedure. The present study tests the relationship between macroeconomic variables such as inflation, industrial production, oil prices, short term interest rate, exchange rates, foreign portfolio investment, money supply and equity prices by using Auto Regressive Distributive Lag (ARDL) bounds testing procedure proposed by Pesaran, Shin, and Smith (1996, 2001). The ARDL approach in an errorcorrection setting has been widely applied to examine the impact of macroeconomic factors on economic growth but it is strongly underutilised in the capital market filament of literature. This methodology has a number of advantages over the other models. First, determining the order of integration of macroeconomic factors and equity market returns is not an important issue here because the Pesaran ARDL approach yields consistent estimates of the long-run coefficients that are asymptotically normal irrespective of whether the underlying regressors are I(0) or I(1) and of the extent of cointegration. Secondly, the ARDL approach allows exploring correct dynamic structure while many econometric procedures do not allow to clearly distinguish between long run and short run relationships.

Impact of the Volatility of Macroeconomic Variables on the Volatility of Stock Market Returns

2014 ◽  
pp. 218-230
Author(s):  
Emeka Nkoro ◽  
Aham Kelvin Uko
Keyword(s):  
Stock Market ◽  
Government Expenditure ◽  
Annual Data ◽  
Market Returns ◽  
Financial Policies ◽  
Macroeconomic Factors ◽  
Stock Market Returns ◽  
Macroeconomic Variables ◽  
Stock Market Return ◽  
Short Run

This chapter investigates the relationship between volatility of macroeconomic variables and the volatility of Nigeria’s stock market returns using annual data from 1985-2009. The Macroeconomic variables used are: inflation rate, government expenditure, foreign exchange rate, index of manufacturing output, broad money supply, and minimum rediscount rate. In pursuance of this, the AR(1)-GARCH-X(1,1) model was used for the analysis. The findings of this study revealed that, Nigeria’s current stock market return is positively influenced by previous returns. Volatility of Nigeria’s stock market returns was affected by past volatility less than the related news from the previous period. Also, the result shows that there is a significantly positive relationship between the volatility of the Nigeria’s stock market returns and the short run deviations of the macroeconomic variables (macroeconomic factors volatility) in the system. The results provide some insight to investors, financial regulators, and policymakers in the Nigeria’s stock market when structuring their portfolios and formulating economic and financial policies.

scholarly journals Impact of Macroeconomic Factors on Banking Profitabilty

2018 ◽  
Vol 5 (1) ◽  
pp. 44
Author(s):  
Lutfullah Lutf ◽  
Hafizullah Omarkhil
Keyword(s):  
Banking Sector ◽  
Capital Adequacy ◽  
Islamic Banks ◽  
Related Factors ◽  
Comparative Performance ◽  
Macroeconomic Factors ◽  
Macroeconomic Variables ◽  
Interest Income ◽  
Long Run ◽  
The Impact

This study comparatively focuses on the impact of macroeconomic determinants and the internal indicators on bank performance. It comparatively evaluates the differential effects of macroeconomic variables and bank specific variables. Thus, considering five-five banks from each system, a comparative performance investigation between conventional & Islamic banks is the aim of this paper. To determine the short-run and long-run impact of these factors, co-integration & general to specific approach are adopted. This study also considers bank specific and macroeconomic variables in two separate models (Return on Assets and Return on Equity). Our objective is to find whether or not Islamic banks are performing well in the country as compared to their conventional counterparts. The results indicate that in the long run, Gross Domestic Product, and inflation, is positively related to performance, while Interest rate has no effect on the performance of banking sector in Pakistan. Similarly, bank size, capital adequacy, expenses, interest income and non-interest income are the bank related factors that significantly influence the performance of financial sector.

scholarly journals Corporate Failure

2013 ◽  
Vol 2 (3) ◽  
pp. 103-110
Author(s):  
Ben Jabeour Sami
Keyword(s):  
Systematic Study ◽  
Predictive Models ◽  
Financial Distress ◽  
Macroeconomic Factors ◽  
Financial Ratio ◽  
Macroeconomic Variables ◽  
Corporate Failure ◽  
Ratio Variables ◽  
The Impact ◽  
Number Of Authors

A number of authors suggested that the impact of the macroeconomic factors on the incidence of the financial distress, and afterward in case of failure of companies. However, macroeconomic factors rarely, if ever, appear as variables in predictive models that seek to identify distress and failure; modellers generally suggest that the impact of macroeconomic factors has already been taken into account by financial ratio variables. This article presents a systematic study of this domain, by examining the link between the failure of companies and macroeconomic factors for the French companies to identify the most important variables and to estimate their utility in a predictive context. The results of the study suggest that several macroeconomic variables are strictly associated to the failure, and have a predictive value by specifying the relation between the financial distress and the failure.

scholarly journals Are Kuwaiti Stock Returns Affected by Fluctuations in Oil Prices?

2020 ◽  
Vol 11 (6) ◽  
pp. 1
Author(s):  
Salem Alshihab ◽  
Nayef AlShammari
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
Oil Prices ◽  
Market Returns ◽  
Macroeconomic Factors ◽  
Stock Market Returns ◽  
Long Run ◽  
Short Run ◽  
The Impact ◽  
Adf Test

This paper examines the impact of fluctuations in the price of oil on Kuwaiti stock market returns for the month-to-month period of 2000 to 2020. The Augmented Dickey-Fuller (ADF) test for stationarity, the error correction model (ECM), and various cointegration test techniques were used to examine the estimated model. In an oil-based economy like Kuwait, the exposure to oil prices seems to affect the performance of the country’s stock market. Our main findings related to the long run showed that the price of oil is cointegrated with stock market returns. Interestingly, our ECM examination confirmed that changes in Kuwaiti stock market returns are only affected by oil price fluctuations in the short run. Further strategies are needed to better stabilize Kuwait’s capital market. This equilibrium can be achieved by pursuing more stability in other macroeconomic factors and providing a solid legal independence for the country’s financial market.

scholarly journals Factors Shaping Agri-food Product Trade in Poland

2015 ◽  
Vol 63 (4) ◽  
pp. 1221-1228
Author(s):  
Piotr Bórawski ◽  
Mariola Grzybowska-Brzezińska ◽  
James William Dunn ◽  
Spiro E. Stefanou
Keyword(s):  
Trade Balance ◽  
Price Index ◽  
Food Product ◽  
Negative Effects ◽  
Total Import ◽  
Macroeconomic Factors ◽  
Macroeconomic Variables ◽  
Internal And External Factors ◽  
The Impact

The objective of the paper is to recognize the role of internal and external factors in the trade balance. The analysis of the trade balance is useful to help formulate goals and premises of economy policy to properly allocate production means to eliminate the negative effects of trade liberalization. The authors have studied data about trade of agricultural commodities in the years 2000–2010. To measure the impact of macroeconomic variables used a regression model. The macroeconomic factors included: X1 (inflation), X2 (investment in agriculture and hunting), X3 (GDP) and X4 (exchange rate) and X5 (FAO food price index). We wanted to recognize the impact of macroeconomic factors on: Y1 (total export), Y2 (total import), Y3 (trade balance).

scholarly journals Impact of Macroeconomic Factors on Underpricing: Case of Indonesia Stock Exchange

InFestasi ◽  
2021 ◽  
Vol 17 (2) ◽  
pp. Inpres
Author(s):  
Aulia Amin Nasution ◽  
Ali Mutasowifin
Keyword(s):  
Stock Market ◽  
Initial Public Offering ◽  
Stock Price ◽  
Stock Exchange ◽  
Composite Index ◽  
Secondary Market ◽  
Macroeconomic Factors ◽  
Macroeconomic Variables ◽  
Public Offering

The stock market is one of the alternatives chosen by companies to meet their funding needs. The first offering of a company's shares through the stock market to investors is called an Initial Public Offering. At the time of initial public offering, underpricing often occurs when the initial stock price on the primary market is lower than the stock price on the secondary market which will disadvantage the company because the collected funds are not maximum. This research aims to analyze the effect of macroeconomic factors on underpricing in companies conducting IPOs listed on the Indonesia Stock Exchange from 2010 to 2020. Using Regression Linear Analyze we found that macroeconomic variables as Inflation, IDX Composite Index, and GDP significantly affect underpricing on IPO in Indonesia Stock Exchange for 2010 to 2020

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