scholarly journals Technological Relationship Between Banknifty and Other Selected Sectorial Indices of NSE

2019 ◽  
Vol 8 (3) ◽  
pp. 2314-2318
Keyword(s):  
Stock Market ◽  
Financial Market ◽  
Stock Exchange ◽  
Risk And Return ◽  
Economic Process ◽  
Money Flows ◽  
Return Factors ◽  
The Relationship ◽  
Regression Correlation ◽  
Poor Relationship

Financial market of a country signifies the monetary strength of its economy. Smart monetary health of a rustic helps in enhancing the money flows and creates capital, that contributes to the event of the country. Post economic process innovate India he monetary market has entered into a replacement phase of worldwide integration and alleviation with variety of recent and innovative monetary instruments. The objective of the is to find the nature and extent of technical relationship between Nifty Bank on other selected sectorial indices of National Stock Exchange and to examine the risk and return factors of the sectorial indices. The major use of stock market indices are as a forecasting tool. Studying the historical performance of the stock market indices, you can forecast trends in the market. All the sectors of NSE are not considered in this study. Only five sectors other than bank nifty are considered. Six different sectors are compared individually with the Nifty Bank by the tools called correlation and Regression. Correlation and regression between the indices has been used to identify the relationship and extent of impact between Nifty Bank and other selected sectorial indices. From the results and findings of this study, one can understand that there is a significant relationship between Bank Nifty and other selected sectors (Energy, FMCG, IT, Media, Pharma) except Infrastructure. It is showing a poor relationship with Bank Nifty.

scholarly journals Transactions Volume, Exchange Direction and Asymmetry of Volatility in Emerging Market: Evidence From Tunisian Stock Exchange

2020 ◽  
Vol 11 (6) ◽  
pp. 318
Author(s):  
Jaber Yasmina
Keyword(s):  
Stock Market ◽  
Financial Market ◽  
Stock Exchange ◽  
Emerging Market ◽  
Explanatory Power ◽  
Trading Activity ◽  
Auto Correlation ◽  
The Asymmetry ◽  
The Impact ◽  
The Relationship

This study is an attempt to explain the relationship between intraday return and volume in Tunisian Stock Market. Indeed, former researches avow that the trading activity have the main explanatory power for volatility. However, most theories measure the activity of transactions through the size of exchange or the number of transactions. Nevertheless, these components are not aware enough of the importance of the direction of exchange when explaining the phenomenon of asymmetry of volatility. In the most of studies, the technique “Augmented Tick Test” (ATT) is employed so as to identify the direction of exchange. Such technique is adapted for the markets directed by orders like the Tunisian financial market. Again, this paper shows that the impact of the direction of exchange differs according to the market trend. In other words, if the returns are positive, the transactions of sale (of purchase) generate a decrease (increase) of volatility; whereas, they induce an increase (drop) of volatility if returns are negative. This result stresses the significance of exchange direction in explaning the asymmetry of volatility. Moreover, throughout this study, one may affirm that “Herding trades” are at the origin of the increase of volatility, while the “Contrarian trades” reduce volatility. Similarly, the identification of the direction of exchange enables us to affirm that the transactions of the initiates are characterized by the absence of returns auto- correlation; whereas, the transactions carried out by uninformed investors present an auto- correlation of the returns. In fact, the sign of this correlation varies according to transaction direction.

scholarly journals Effect of Liberalization of Amman Stock Market on the Prices Fluctuation for the Period (1994-2015)

2018 ◽  
Vol 10 (1) ◽  
pp. 274
Author(s):  
Ahmad Abdalla Alrafaya
Keyword(s):  
Stock Market ◽  
Financial Market ◽  
Stock Exchange ◽  
Market Liberalization ◽  
Price Changes ◽  
Stock Market Liberalization ◽  
Amman Stock Exchange ◽  
The Relationship ◽  
Second Period ◽  
Speed And Accuracy

This study aimed to identify the relationship between the information and fluctuations in stocks return following the liberalization process of financial market, and illustrate the effect of liberalization of Amman Stock Exchange on price fluctuations, and the trend of this influence. To achieve this goal the researcher depended on the data of the daily stocks returns for Amman stock market for the period (1994-2015).The study was based on the analytical descriptive method. The period from which the financial data were taken was divided into two periods: first, the pre-liberalization of the financial market (1994-2000), and the second period, the post-liberalization which extended from 2001 to 2015, the appropriate statistical analysis was conducted through (e-views) program, and using the (GARCH) model.The results showed that there is an effect of the stock market liberalization on the fluctuations pattern in the Jordanian Stock Exchange, the speed and accuracy of information flow to the market has increased after stock market liberalization, it also appeared that there are some events and factors such as wars and catastrophes which lead to strong and illogical fluctuations in the stock market, and that the variation in price changes before the liberalization period was integrated variation which indicates that news have perpetual influences on price changes.

scholarly journals Sugar Prices vs. Financial Market Uncertainty in the Time of Crisis: Does COVID-19 Induce Structural Changes in the Relationship?

Agriculture ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 93
Author(s):  
Pavel Kotyza ◽  
Katarzyna Czech ◽  
Michał Wielechowski ◽  
Luboš Smutka ◽  
Petr Procházka
Keyword(s):  
Financial Crisis ◽  
Stock Market ◽  
Financial Market ◽  
Structural Breaks ◽  
Structural Changes ◽  
Global Financial Crisis ◽  
Market Uncertainty ◽  
Volatility Index ◽  
The Global Financial Crisis ◽  
The Relationship

Securitization of the agricultural commodity market has accelerated since the beginning of the 21st century, particularly in the times of financial market uncertainty and crisis. Sugar belongs to the group of important agricultural commodities. The global financial crisis and the COVID-19 pandemic has caused a substantial increase in the stock market volatility. Moreover, the novel coronavirus hit both the sugar market’s supply and demand side, resulting in sugar stock changes. The paper aims to assess potential structural changes in the relationship between sugar prices and the financial market uncertainty in a crisis time. In more detail, using sequential Bai–Perron tests for structural breaks, we check whether the global financial crisis and the COVID-19 pandemic have induced structural breaks in that relationship. Sugar prices are represented by the S&P GSCI Sugar Index, while the S&P 500 option-implied volatility index (VIX) is used to show stock market uncertainty. To investigate the changes in the relationship between sugar prices and stock market uncertainty, a regression model with a sequential Bai–Perron test for structural breaks is applied for the daily data from 2000–2020. We reveal the existence of two structural breaks in the analysed relationship. The first breakpoint was linked to the global financial crisis outbreak, and the second occurred in December 2011. Surprisingly, the COVID-19 pandemic has not induced the statistically significant structural change. Based on the regression model with Bai–Perron structural changes, we show that from 2000 until the beginning of the global financial crisis, the relationship between the sugar prices and the financial market uncertainty was insignificant. The global financial crisis led to a structural change in the relationship. Since August 2008, we observe a significant and negative relationship between the S&P GSCI Sugar Index and the S&P 500 option-implied volatility index (VIX). Sensitivity analysis conducted for the different financial market uncertainty measures, i.e., the S&P 500 Realized Volatility Index confirms our findings.

scholarly journals Adaptive Market Hypothesis: Evidence from the Vietnamese Stock Market

2019 ◽  
Vol 12 (2) ◽  
pp. 81 ◽  
Author(s):  
Dzung Phan Tran Trung ◽  
Hung Pham Quang
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
Stock Exchange ◽  
Ho Chi Minh City ◽  
Stock Exchanges ◽  
Ratio Test ◽  
Time Varying ◽  
Variance Ratio ◽  
Variance Ratio Test ◽  
The Relationship

This paper aims to test the adaptive market hypothesis in the two main Vietnamese stock exchanges, namely Ho Chi Minh City Stock Exchange (HSX) and Hanoi Stock Exchange (HNX), by measuring the relationship between current stock returns and historical stock returns. In particular, the tests employed are the automatic variance ratio test (“AVR”), the automatic portmanteau test (“AP”), the generalized spectral test (“GS”), and the time-varying autoregressive (TV-AR) approach. The empirical results validate the adaptive market hypothesis in the Vietnamese stock market. Furthermore, the results suggest that the evolution of HSX has served as an important factor of the adaptive market hypothesis.

scholarly journals Financial Mismatch, Assets Specificity and Capital Structure

2019 ◽  
Vol 11 (2) ◽  
pp. 236
Author(s):  
Yanwu Li
Keyword(s):  
Capital Structure ◽  
Financial Market ◽  
Stock Exchange ◽  
Governance Structure ◽  
Debt Financing ◽  
Asset Specificity ◽  
Private Companies ◽  
Market Governance ◽  
The Impact ◽  
The Relationship

At present, the problem of financial mismatch poses great challenge to China’s financial market. Financial mismatch blurs the market governance structure of debt financing, thus distorting the relationship between asset specificity and capital structure. This paper investigates companies listed on the A-share of Shanghai and Shenzhen Stock Exchange from 2012 to 2017. It tests the existence of financial mismatch and the impact of financial mismatch on asset specificity and capital structure. Empirical results show that the impact of financial mismatch on the relationship between asset specificity and capital structure of sample companies exhibits no differences in ownership. Both state-owned listed companies and private companies face the same degree of financial mismatch issues, which leads to changes in the property-specific governance structure of assets, and asset specificity is positively related to capital structure.

scholarly journals WOMEN FEEL MORE PESSIMISTIC THAN MEN: EMPIRICAL EVIDENCE FROM TURKISH CONSUMER CONFIDENCE INDEX

2010 ◽  
Vol 11 (1) ◽  
pp. 146-171 ◽  
Author(s):  
Ashi Küçükaslan ◽  
Sadullah Çelik
Keyword(s):  
Exchange Rates ◽  
Interest Rates ◽  
Financial Market ◽  
Stock Exchange ◽  
Emerging Market ◽  
Consumer Confidence ◽  
Data Set ◽  
Confidence Index ◽  
Market Variables ◽  
The Relationship

The leading role that is attributable to economic indicators like consumer confidence has been well documented in the literature for many developed nations. Moreover, the relationship between high frequency financial market data has been a common research topic for world economies. However, there is hardly any study that attempts to search for the possible functional relationship between consumer confidence and financial market variables. This paper is a simple attempt to link these two brands of literature by focusing on the relationship between financial market variables and consumer confidence index before the global crisis has started. We have two distinctive points. First, we derive separate consumer confidence indices for men and women by employing micro‐level consumer confidence data from an emerging market (Turkish CNBC‐e consumer confidence index) for the period of January 2003 ‐ January 2008. Second, employing this data set, we do not only check for the existence of a relationship between consumer confidence and financial market variables (such as interest rates, exchange rates and stock exchange index) but also focus on the possibility of gender response. We find evidence of gender response difference as throughout the period women are more pessimistic than men‐due probably to lower levels of wealth‐and respond less to changes in exchange rates than men‐due probably to lower purchasing power. Santrauka Ekonominiu rodikliu kaip pirkejo pasitikejimo vaidmens svarba yra išsamiai pagrista daugelio išsivys‐čiusiu šaliu literatūroje. Be to, ryšys tarp aukšto finansu. rinkos svyravimo duomenu yra dažna tyrimu tema daugelyje pasaulio šaliu. Tačiau vargu ar galima būtu rasti tyrimu, kuriuose būtu bandoma surasti funkcini ryši tarp pirkejo pasitikejimo ir finansu. rinku rodikliu. Šis straipsnis ‐ tai meginimas susieti šias dvi rūšis, orientuojantis i ryši tarp finansu. rinku rodikliu ir pirkejo pasitikejimo indekso prieš prasi‐dedant pasaulinei krizei. Šiame straipsnyje pabrežti du išskirtiniai bruožai. Pirma, nustatomi atskiri mo‐teru ir vyru pasitikejimo indeksai naudojantis 2003 m. sausio men. ‐ 2008 m. sausio men. laikotarpio augančiu rinku mikrolygmens pirkejo pasitikejimo duomenimis (Turku CNBC‐e pirkejo pasitikejimo indeksas). Antra, naudojantis šia informacija tikrinamas ne tik esamas ryšys tarp pirkejo pasitikejimo ir finansu. rinku rodikliu (pavyzdžiui, palūkanu normos, valiutu kurso, akciju biržos indekso). Buvo rasta akivaizdžiu skirtumu tarp atsakymu, gautu iš skirtingu lyčiu atstovu. Visa laikotarpi moterys buvo pesi‐mistiškesnes nei vyrai, tikriausiai del žemo geroves lygio. Jos mažiau reagavo i valiutu kurso pokyčius nei vyrai del mažesnes perkamosios galios.

scholarly journals Sell in May and Go Away or Just Another January Effect? Studied of Anomaly in Indonesia Stock Exchange

2020 ◽  
Vol 1 (1) ◽  
pp. 45-56
Author(s):  
Restu Hayati ◽  
Mimelientesa Irman ◽  
Lintang Nur Agia
Keyword(s):  
Stock Exchange ◽  
Efficient Market Hypothesis ◽  
January Effect ◽  
Rate Of Return ◽  
Efficient Market ◽  
Risk And Return ◽  
High Return ◽  
Return Anomaly ◽  
The Relationship

Sell in May and go away is a phenomenon of return anomaly that starts in May and lasts until October. These months are called the worst months of stocks. Conversely, the months of November to April are often referred to as the best months of the stock where a higher rate of return is achieved throughout the year. Although it has not been proven academically, this phenomenon has been mentioned by various media in Indonesia such as Kontan, CNN Indonesia, and Tempo Business which are predicted to correct the JCI throughout 2017.  The purpose of this study is to prove the phenomenon of sell in May and go away on the Indonesia Stock Exchange, and find out whether the average best return of the month is affected by the high return in January.  The results prove that even though the average returns increase in November-April was due to the high return in January, but there was no sell in May and go away on the Indonesia Stock Exchange. Under these conditions, the direction of the relationship between risk and return is the opposite that directs the Indonesia Stock Exchange to the efficient market hypothesis.

scholarly journals O SETOR DE CONSUMO CÍCLICO SEGUNDO AÇÕES NEGOCIADAS NA B3: O SEGMENTO DE ELETRODOMÉSTICOS, PRODUTOS DIVERSOS,TECIDOS,VESTUÁRIOE CALÇADOS

2020 ◽  
Vol 3 (4) ◽  
pp. 37-46
Author(s):  
Rafael Gutierres Castanha ◽  
Andreia de Fatima Costa Miranda ◽  
Lucas Alves de Pontes
Keyword(s):  
Stock Market ◽  
Correlation Coefficient ◽  
Financial Market ◽  
Stock Price ◽  
Stock Exchange ◽  
Methodological Approach ◽  
Price Variability ◽  
Pearson’S Correlation Coefficient ◽  
Home Appliances ◽  
The Stability

By analyzing a portion of the Brazilian financial market, according to the daily value of its shares traded on the largest stock exchange in the country, the B3 stock exchange, offering possibilities to understand more clearly the behavior of the stock market according to growth, decrease, and even the stability of the values traded on the stock market in question. Thus, this research presents an analysis using Pearson's correlation coefficient and offers elements to affirm or refute the idea of proximity between companies in the same sector or not. By proposing the application of this methodology in the segment of home appliances, miscellaneous products, and fabrics, clothing and footwear, it is possible to point out how closely these companies are interconnected in terms of stock price variability. Thus, the objective was to observe not only the behavior of the stock price of the companies of the sector in question during a given period, as well as the intensity of variation between the same measures by the correlation coefficient, but also to evaluate the use of this coefficient as a proposal. methodological approach to assess the proximity between the companies. As a result, it was concluded that the largest proximityis between companies of the same segment.

scholarly journals Measuring Co-Movements and Linkages between Nigeria and the UAE Stock Exchanges: Is there Opportunity for Portfolio Building?

2020 ◽  
Vol 1 (2) ◽  
pp. 106-122
Author(s):  
Shafiu Abdullahi
Keyword(s):  
Stock Market ◽  
Financial Market ◽  
Market Integration ◽  
Stock Exchange ◽  
Portfolio Diversification ◽  
Empirical Literature ◽  
Stock Exchanges ◽  
Financial Contagion ◽  
Stock Market Integration ◽  
Short Run

Purpose: The main objective of this study is to examine the relationship between Nigerian Stock Exchange and Dubai stock exchange with the aim of finding out the direction of movements between their respective indices. Approach/Methodology/Design: The methodology adopted for the analysis is ARDL cointegration model and the Generalized Method of Moment (GMM). This is because of their known efficiency in detecting patterns between variables. Findings: The result of the short-run analysis using GMM shows that there is existence of short-run causality between the Dubai financial market (DFM) and the Nigerian stock exchange (NSE). Thus, for investors looking for short- run arbitrage opportunity between the markets, they shall look elsewhere. But, the result of bound testing has shown lack of cointegration between the two markets. This is a sign of existence of opportunities for portfolio diversification between Nigeria stock exchange and Dubai financial market, since the two markets are not cointegrated in the long-run. Practical Implications: The study helps bridge the empirical literature gap in stock market integration and portfolio diversification with reference to the Nigeria and UAE. It will, therefore, guide local and foreign investors with interest in Nigeria and UAE Stock Exchanges. It will also guide Nigerian and UAE policy makers to understand the market better, especially as it concerns financial contagion. Originality/value: This study provides further evidence on stock market integration in emerging markets. New researches shall adopt different methodology such as use of volatility tracking models to measure volatility linkage between the markets.

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