Canonical correlation analysis

2014 ◽  
Vol 6 (2) ◽  
pp. 179-196 ◽  
Author(s):  
Peter Mazuruse
Keyword(s):  
Correlation Analysis ◽  
Stock Returns ◽  
Canonical Correlation Analysis ◽  
Stock Prices ◽  
Canonical Correlation ◽  
Price Index ◽  
Stock Exchange ◽  
Consumer Price Index ◽  
Content Type ◽  
Macroeconomic Variables

Purpose – The purpose of this paper was to construct a canonical correlation analysis (CCA) model for the Zimbabwe stock exchange (ZSE). This paper analyses the impact of macroeconomic variables on stock returns for the Zimbabwe Stock Exchange using the canonical correlation analysis (CCA). Design/methodology/approach – Data for the independent (macroeconomic) variables and dependent variables (stock returns) were extracted from secondary sources for the period from January 1990 to December 2008. For each variable, 132 sets of data were collected. Eight top trading companies at the ZSE were selected, and their monthly stock returns were calculated using monthly stock prices. The independent variables include: consumer price index, money supply, treasury bills, exchange rate, unemployment, mining and industrial index. The CCA was used to construct the CCA model for the ZSE. Findings – Maximization of stock returns at the ZSE is mostly influenced by the changes in consumer price index, money supply, exchange rate and treasury bills. The four macroeconomic variables greatly affect the movement of stock prices which, in turn, affect stock returns. The stock returns for Hwange, Barclays, Falcon, Ariston, Border, Caps and Bindura were significant in forming the CCA model. Research limitations/implications – During the research period, some companies delisted due to economic hardships, and this reduced the sample size for stock returns for respective companies. Practical implications – The results from this research can be used by policymakers, stock market regulators and the government to make informed decisions when crafting economic policies for the country. The CCA model enables the stakeholders to identify the macroeconomic variables that play a pivotal role in maximizing the strength of the relationship with stock returns. Social implications – Macroeconomic variables, such as consumer price index, inflation, etc., directly affect the livelihoods of the general populace. They also impact on the performance of companies. The society can monitor economic trends and make the right decisions based on the current trends of economic performance. Originality/value – This research opens a new dimension to the study of macroeconomic variables and stock returns. Most studies carried out so far in Zimbabwe zeroed in on multiple regression as the central methodology. No study has been done using the CCA as the main methodology.

scholarly journals Measuring the Impact of Some Macroeconomic Variables on the Stock Price Index in the Iraq Stock Exchange for the period (2006-2015)

2019 ◽  
Vol 8 (4) ◽  
pp. 93
Author(s):  
Khalil Gh. Hassan ◽  
Wafaa Sabah
Keyword(s):  
Stock Prices ◽  
Stock Price ◽  
Price Index ◽  
Stock Exchange ◽  
Consumer Price Index ◽  
Macroeconomic Variables ◽  
Long Run ◽  
Negative Effect ◽  
Stock Price Index ◽  
The Impact

This study aims at measuring the impact of some macroeconomic variables on stock prices index in the Iraqi Stock Exchange (ISX) for the monthly data from January 2006 to December 2015 based on (121) observations using the ARDL model. Results indicated that the stock price index of Iraq Stock Exchange (ISX) and macroeconomic variables are co-integrated and a long-run relationship exists between them. The long-run coefficients suggested that the consumer price index (CPI) and money supply (M2) had a negative effect while the Interest-Rate-Current Account (Over Draft) (DR) had a positive effect on the stock prices index. However, the variable exchange rate (EX) did not show significant effect on the stock prices index

The effectiveness of quality awards on the company's performance – the case of Iran's national quality awards

2020 ◽  
Vol 27 (4) ◽  
pp. 1319-1340
Author(s):  
Hossein Safari ◽  
Elham Razghandi ◽  
Mohammad Reza Fathi ◽  
Virgilio Cruz-Machado ◽  
Maria do Rosário Cabrita
Keyword(s):  
Logistic Regression ◽  
Correlation Analysis ◽  
Financial Performance ◽  
Canonical Correlation Analysis ◽  
Canonical Correlation ◽  
Business Environment ◽  
Content Type ◽  
National Quality ◽  
Quality Awards ◽  
The Relationship

PurposeThe purpose of this study is to clarify the relationship between getting quality awards by companies and their financial performance in Iran's business.Design/methodology/approachIn the first step, the relationship between awards scores and financial performance by canonical correlation analysis was examined. Then, binary and multinomial logistic regression was used to determine the degree of impact of each financial performance measure on getting quality awards. Finally, two forecasting functions were explored: the probability of achieving quality awards and the probability of achieving different levels of these awards.FindingsBased on the analyzed data of 112 companies through canonical correlation analysis, there was a weak relationship between financial performance and getting quality awards. Also, by using logistic regression, no result was found to prove the impact of financial performance measures on getting Iran's national quality awards. It can be concluded that conceptually, deployment of excellence organizational models will not result in favorable outcomes, especially in the financial scope. Also, practically, excellence models have not been well deployed in Iranian companies, or these models do not fit to Iran's business environment. Organizational culture may not be consistent with quality.Originality/valueQuality awards are given to qualified companies following the establishment of models of excellence such as the European Foundation for Quality Management (EFQM). The main novelty of this research is to clarify the relationship between getting quality awards by companies and their financial performance in Iran's business.

scholarly journals The Effect of Macro Economic Variables on Stock Return of Companies That Listed in Stock Exchange: Empirical Evidence from Indonesia

2019 ◽  
Vol 14 (8) ◽  
pp. 108
Author(s):  
Aminullah Assagaf ◽  
Etty Murwaningsari ◽  
Juniati Gunawan ◽  
Sekar Mayangsari
Keyword(s):  
Interest Rates ◽  
Stock Returns ◽  
Stock Price ◽  
Price Index ◽  
Stock Exchange ◽  
Secondary Data ◽  
Foreign Exchange Rates ◽  
Macroeconomic Variables ◽  
Analysis Technique ◽  
Inflation Rates

This study aims to analysis the effect of macroeconomic variables on the overall return of company shares which is a proxy with changes in the composite stock price index. This study uses secondary data in a period of 20 months from November 2016 to June 2018. While the analysis technique uses multiple linear regression This study found that macroeconomic variables consisting of inflation rates, interest rates, money supply, and foreign exchange rates, stock returns have a significant effect on companies on the Indonesia Stock Exchange.

scholarly journals The Impact of Macroeconomic Variables on Stock Prices: An Empirical Analysis of Islamabad Stock Exchange

2014 ◽  
Vol 10 (2) ◽  
pp. 73-93
Author(s):  
Nosheen Rasool ◽  
Muhammad Mubashir Hussain
Keyword(s):  
Exchange Rate ◽  
Significant Relationship ◽  
Stock Prices ◽  
Price Index ◽  
Stock Exchange ◽  
Foreign Exchange Reserves ◽  
Macroeconomic Variables ◽  
Production Index ◽  
Long Run ◽  
The Impact

The purpose of this study was to analyze long-run causal relationship between ISE (Islamabad Stock Exchange) and macroeconomic variables in Pakistan and also find out the direction of causality. The impact of macroeconomic variables on stock prices of ISE has not been previously discussed by the researchers. The monthly data from January 2001 to December 2010 was used in this study. The set of macroeconomic variables include Exchange Rate (ER), Foreign Exchange Reserves (FER), Industrial Production Index (IPI), Interest Rate (IR), Imports (M), Money Supply (MS), Wholesale Price Index (WPI) and Exports (X). Descriptive statistics and Unit root test, Johansen Co-integration Technique and Granger Causality Technique were employed to analyze the long-run and causal relationship between the macroeconomic variables and stock prices.  The results revealed that M showed positive and significant relationship but Foreign Exchange Reserves (FER) and Industrial Production Index (IPI) indicated positive and insignificant relationship with the stock prices. Exchange rate(ER), Money supply (MS) and  Whole sale price index(WPI) showed negative but significant relationship while Interest  rate (IR) and Export( X )indicated a negative and insignificant relationship with the stock prices. The findings of Granger Causality revealed that only exports showed a unidirectional causal relationship. 

scholarly journals SIGNIFICANT RELATIONSHIP INTELLECTUAL CAPITAL AND MACRO ECONOMICS: A CASE STUDY

2020 ◽  
Vol 8 (4) ◽  
pp. 112-118
Author(s):  
Ahmad Subagyo ◽  
Siti Zulaikha Wulandari ◽  
Desmadi Saharuddin
Keyword(s):  
Regression Model ◽  
Intellectual Capital ◽  
Price Index ◽  
Stock Exchange ◽  
Consumer Price Index ◽  
Economic Variable ◽  
Producer Price ◽  
Macroeconomic Variables ◽  
Log Linear ◽  
The Relationship

This paper aims to investigate the relationship between intellectual capital of several companies in Indonesia and macroeconomic variables Indonesia during the period 2011-2017 at 61 companies listed on the Stock Exchange. In this study using several intellectual capital variables in 61 companies and some Indonesian macro-economic variables are intellectual capital variable, Indonesian bank interest rate, consumer price index, producer price index, exchange rate index, inflation. This paper uses multiple regression data analysis techniques with OLS proposal model, linear difference and log analysis. From the results of studies that have been done can be explained that with the OLS regression model the relationship between several variable intellectual capital with some macroeconomic variables partially and simultaneously significant, as well as the difference. With log linear regression model analysis relationship between several variable intellectual capital with some macro economic variable simultaneously significant and partially between some variable intellectual capital significant and not significant partially with macro economic variable.

scholarly journals Macroeconomic impact on stock returns in the Croatian hospitality industry

2019 ◽  
Vol 7 (1) ◽  
pp. 53-68
Author(s):  
Siniša Bogdan
Keyword(s):  
Stock Returns ◽  
Stock Prices ◽  
Stock Price ◽  
Hospitality Industry ◽  
Price Index ◽  
Explanatory Power ◽  
Consumer Price Index ◽  
Stock Index ◽  
Macro Variables ◽  
The Impact

Tourism is one of the most important sectors in the Republic of Croatia. It plays a significant role in its economic development. This research investigates whether the macro-variables have an impact on the stock returns in the hospitality industry. The focus of the work consists in causality relationship between four macro variables (consumer price index, industrial production, exchange rate and number of tourist arrivals) and a stock index composed of Croatian hospitality companies. After applying Granger-causality tests based on the VAR methodology, results suggest that only consumer price index Granger-cause stock returns in the hospitality industry in the observed period from July 2008 to July 2018. Further analysis through impulse response function indicates that the impulse responses of inflation meet expectations in terms of the direction of impact. In the second month, stock prices react negatively to shock, implying that higher inflation causes negative stock price returns. After applying the variance decomposition method, a very low explanatory power of consumer price index on stock returns in the hospitality industry was revealed. This paper contributes to the existing literature on the topic of the impact of macro-economic variables on hospitality stock returns by extending the scope to Croatia and by testing a different set of variables compared to those from previous studies.

scholarly journals A COMPARATIVE STUDY ON THE INVESTMENT VALUE OF RESIDENTIAL PROPERTY AND STOCKS

2004 ◽  
Vol 8 (2) ◽  
pp. 63-72 ◽  
Author(s):  
Bing Sun ◽  
Hongyu Liu ◽  
Siqi Zheng
Keyword(s):  
Stock Returns ◽  
Stock Price ◽  
Price Index ◽  
Stock Exchange ◽  
Consumer Price Index ◽  
Residential Property ◽  
Investment Value ◽  
Stock Investment ◽  
Property Price ◽  
Weak Negative Correlation

As real estate, residential property comprises not only the value of utilization, but also the value of investment, which is somewhat different from that of securities such as stocks and bonds. In this paper, the investment value of newly‐built residences and stocks are compared and analyzed theoretically and empirically. Firstly, the paper summarizes the diversity of costs, risks, and benefits of these two investments. Secondly, by quoting the quarterly price/rent indices on the housing market and that at the stock exchange in Shanghai, the paper explores the variances of these two investments with respect to their risk‐return characteristics from 1993 to 2003. Thirdly, the paper discusses the correlations between residential property price/rent index, property/general stock price index, and Consumer Price Index (CPI). Finally, by utilizing the Capital Asset Pricing Model (CAPM), the systematic and the unsystematic risks of these investments are segregated and compared with each other, based on a series of assumptions. The result suggests, on a quarterly basis, that residential property investment produces a higher risk‐adjusted return than that of general stock and property stock investment. Because of a weak/negative correlation between residential property and stock returns, residential property is an ideal candidate to be included into the stock investment portfolio. Moreover, residential property and property stock can be used as effective hedges against inflation.

Does the sentiment of investors explain differences between predicted and realized stock prices?

2016 ◽  
Vol 33 (3) ◽  
pp. 403-416 ◽  
Author(s):  
Stella N. Spilioti
Keyword(s):  
Stock Prices ◽  
Psychological Factors ◽  
Stock Exchange ◽  
Estimation Errors ◽  
Content Type ◽  
Macroeconomic Variables ◽  
Macroeconomic Conditions ◽  
Fundamental Value ◽  
Using Data ◽  
Fundamental Values

Purpose The purpose of this paper is to use the Barberis et al. (1998)’s valuation model to calculate the fundamental value of a stock and examine whether the differences between predicted and realized stock prices are explained both by psychological factors (that affect investor reaction to information) and by key macroeconomic variables. Design/methodology/approach This paper adopts a time-series analysis, as well as a panel data approach, to examine whether the price deviations from fundamental values are because of macroeconomic and psychological factors, using data from the London Stock Exchange. Findings The results indicate that these differences are explained by important macroeconomic variables, as well as by the sentiment of investors (that is used as a proxy of the psychological factors). Originality/value Based on the above results, this paper suggests that the price deviations from fundamental values are not treated as model estimation errors as proposed by Penman and Sougiannis (1998) but rather as deviations that are because of psychological factors, as well as to macroeconomic conditions.

PREDICTING STOCK RETURNS — THE INFORMATION CONTENT OF PREDICTORS ACROSS HORIZONS

2015 ◽  
Vol 10 (02) ◽  
pp. 1550013
Author(s):  
KAIHUA DENG ◽  
CHANG-JIN KIM
Keyword(s):  
Correlation Analysis ◽  
Stock Returns ◽  
Information Content ◽  
Canonical Correlation Analysis ◽  
Canonical Correlation ◽  
Structural Breaks ◽  
Price Ratio ◽  
Weak Signal ◽  
Long Run ◽  
Information Contents

We evaluate and compare the information contents of dividend-price ratio and consumption-wealth ratio ([Formula: see text] for predicting stock returns at different horizons. To do this, we conduct a canonical correlation analysis of wavelet-decomposed stock returns and a selected group of predictors. We show that predictive information is often wasted due to a weak signal problem: The highly predictive component is met with very low variation. Nevertheless, we find that cay contains valuable information about the long run and that, after allowing for structural breaks, dividend-price ratio becomes very informative about short-to-medium-horizon returns and outperforms [Formula: see text] in terms of in-sample [Formula: see text].

scholarly journals Stock prices and Macroeconomic Performance in Pakistan: An Analysis

2015 ◽  
Vol 1 (2) ◽  
pp. 119-128
Author(s):  
Saima Mukhtar ◽  
Imran Sharif Sharif Chaudhry ◽  
Furrukh Bashir
Keyword(s):  
Exchange Rate ◽  
Stock Prices ◽  
Positive Impact ◽  
Stock Exchange ◽  
Consumer Price Index ◽  
Multiple Regression Model ◽  
Causality Test ◽  
Macroeconomic Variables ◽  
Equilibrium Relationships

This paper analyzes long-term equilibrium relationships between the Karachi stock exchange index and a group of macroeconomic variables. The macroeconomic variables are represented by the gross domestic product, the consumer price index, M2 and the exchange rate. We employ a multiple regression model to explore such relationships during 1991 to 2012. Our results indicated a "causal" relationship between the stock market and the economy analysis of our results indicates that KSE 100 index has a strong positive impact on GDP and M2 in Pakistan. Whereas it has a negative and significant impact on CPI and exchange rate in Pakistan. Granger causality test shows that KSE 100 index Granger causes GDP, CPI, M2, EXRT, AGRI, FDI and BOT and the direction of causality runs from KSE 100 index to these variables.

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