Integration of Indian Capital Markets with Global Markets: An Empirical Study

2002 ◽  
Vol 6 (2) ◽  
pp. 73-79
Author(s):  
Partha De Sarkar ◽  
Surendra S Yadav ◽  
D K Banwet
Keyword(s):  
Hong Kong ◽  
Stock Market ◽  
Capital Markets ◽  
Stock Prices ◽  
Stock Markets ◽  
Sensitivity Index ◽  
Stock Market Index ◽  
Indian Government ◽  
Global Indices ◽  
Indian Stock Market

From 1997 onwards, the effect of globalization is becoming evident in the Indian capital markets. The stock prices of Indian companies and the stock market indices have been driven not just by the macro and micro factors of the Indian economy. Events in other parts of the world have also increasingly started having an impact. This is in stark contrast to the situation in the insular days prior to 1991, when major policy changes were made by the Indian government to open up the economy. The increased volatility of stock markets and reduction in controls over capital movements across borders has reflected in the stock prices in India. This paper aims at validating that indeed globalization has found its way into the Indian capital markets. It estimates the extent of correlation between the major world stock markets in USA, UK, Japan and Hong Kong with the Indian Stock Market Index like the BSE Sensex and also how portfolio fund flows have affected its movement. The study restricts itself to the period between January 1997 and June 2000. In brief, this paper seeks to: establish the relationship between the Bombay 30 Stock Sensitivity Index (SENSEX) and the global indices mentioned above like Dow Jones Industrial Average, NASDAQ Composite of USA, FTSE100 of UK, Nikkei 225 of Japan and the Hang Seng of Hong Kong. look at how portfolio funds flows have been affecting the Indian stock market.

The Shanghai-Hong Kong Stock Market

2015 ◽  
Vol 07 (03) ◽  
pp. 36-45
Author(s):  
Jing WAN
Keyword(s):  
Hong Kong ◽  
Stock Market ◽  
Capital Markets ◽  
Capital Market ◽  
Stock Markets ◽  
Market Access ◽  
Mainland China ◽  
Opening Up ◽  
Hong Kong Stock Market ◽  
The Capital Market

The Stock Connect scheme launched on 17 November 2014 was the first mutual market access between mainland China and Hong Kong stock markets. It is the biggest move ever in the opening up of the capital market. Experiences accumulated will be of great value to mainland regulators who will decide on how these experiences could be utilised for China’s future opening up of its capital markets and for accelerating renminbi internationalisation.

Financial integration in emerging economies: an application of threshold cointegration

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Sajid Ali ◽  
Mobeen Ur Rehman ◽  
Syed Jawad Hussain Shahzad ◽  
Naveed Raza ◽  
Xuan Vinh Vo
Keyword(s):  
South Africa ◽  
Stock Market ◽  
Stock Prices ◽  
Stock Markets ◽  
Stock Price ◽  
Financial Integration ◽  
Good News ◽  
Speed Of Adjustment ◽  
Long Run ◽  
Indian Stock Market

AbstractThe asymmetric short – and long-run relationships between BRICS stock markets are examined using monthly stock price data from January 2001 through December 2014. The asymmetric co-integration analysis confirms the presence of a long-run association between the BRICS stock markets; where, the speed of adjustment to the negative shocks is higher and statistically significant for the Brazil-India and China-India pairs, which indicates quick adjustment of stock prices to bad news compared to good news. Conversely, the speed of adjustment for Indian and South African stock markets is higher for positive shocks, while the relationship between the stock markets pair of Russia and South Africa is linear. The results of asymmetric error correction model (AECM) reveal evidence of bidirectional causality between China-India, India-South Africa and South Africa-Russia, while unidirectional causality runs from the Indian to Brazilian stock market. Thus, we can safely conclude that the Indian stock market has long-run and short-run relationships with most of the other stock markets. This suggests that investors should pay attention to the Indian stock market when investing in BRICS stock markets.

Determinants of Trading Decision: An Experiential Examination

GIS Business ◽  
2018 ◽  
Vol 13 (1) ◽  
pp. 1-9
Author(s):  
Gunjan Sharma ◽  
Tarika Singh ◽  
Suvijna Awasthi
Keyword(s):  
Stock Market ◽  
Capital Markets ◽  
Capital Market ◽  
Capital Mobility ◽  
Influential Factors ◽  
Herd Behavior ◽  
Human Beings ◽  
The Past ◽  
The Government ◽  
Indian Stock Market

In the midst of increasing globalization, the past two decades have observed huge inflow of outside capital in the shape of direct and portfolio investment. The increase in capital mobility is due to contact between the different economies across the globe. The growing liberalization in the capital market leads to the growth of various financial products and services. Over the past decade, the Indian capital market has witnessed numerous changes in the direction of developing the capital markets more robust. With the growing Indian economy, the larger inflow of funds has been fetched into the capital markets. The government is continuously working on investor’s education in order to increase retail participation in the Indian stock market. The habits of the risk-averse middle class have been changing where these investors started participating in the Indian stock market. It is an explored fact that human beings are irrational and considering this fact becomes imperative to investigate factors that influence the trading decisions. In this research, ‘an attempt has been made to investigate various factors that affect the individual trading decision’. The data has been collected from various stockbroking firms and from clients of those stockbroking firms their opinions were recorded by means of a questionnaire. Data collected through the structured questionnaire, 33 questions were prepared which was given to the 330 respondents on the basis of convenience sampling out of which 220 individuals filled questionnaire, the total of 200 questionnaires was included in the study after eliminating the incomplete questionnaire. Various factors are being explored from the literature and then with the help of factor analysis some of the most influential factors have been explored. Factors like overconfidence, optimism, cognitive bias, herd behavior, advisory effect, and idealism are the factors which influenced the trading decision of the investors the most. Such kind of a study is contributing in the area of behavioral finance as a trading decision is an important aspect while investing in the stock market. And this kind of study would be helping and assisting financial advisors to strategies for their clients in making the right allocation and also the policy maker and market regulators to come up with better reforms for the Indian stock markets.

Prior Return Effect in Indian Stock Market: An Intra-day Analysis

2015 ◽  
Vol 5 (1) ◽  
Author(s):  
Vanita Tripathi ◽  
Shalini Aggarwal
Keyword(s):  
Stock Market ◽  
Stock Prices ◽  
High Frequency ◽  
Good News ◽  
High Frequency Data ◽  
Short Term ◽  
Fund Managers ◽  
News Events ◽  
Return Effect ◽  
Indian Stock Market

In a first of this kind, this paper examines the issue of prior return effect in Indian stock market in intra-day analysis using high frequency data. We document that in Indian stock market, security returns exhibit a reversal in their direction within few minutes of extreme price rises as well as price falls. However the speed with which the correction takes place is slightly different for good news events and bad news events. Indian investors tend to be optimistic as they immediately bring stock prices up following unjustified price falls but take time to bring stock prices down following unjustified price rises. These findings lend a further support to short-term overreaction literature. More importantly, these findings serve as a proof of predictability of the direction of future stock prices and consequent returns on an intra-day basis. It forwards important investment implications for traders, fund managers, and investors at large.

Do Lower Foreign Flows and Higher Domestic Flows Reduce Indian Equity Market Volatility?

2021 ◽  
pp. 097226292199098
Author(s):  
Vaibhav Aggarwal ◽  
Adesh Doifode ◽  
Mrityunjay Kumar Tiwary
Keyword(s):  
Stock Market ◽  
Mutual Fund ◽  
Stock Markets ◽  
Large Scale ◽  
Structural Changes ◽  
Market Volatility ◽  
Stock Market Volatility ◽  
Equity Investments ◽  
Net Equity ◽  
Indian Stock Market

This study examines the relationship that both domestic and foreign institutional net equity flows have with the India stock markets. The motivation behind is the study to examine whether increased net equity investments from domestic institutional investors has reduced the influence of foreign equity flows on the Indian stock market volatility. Our results indicate that only during periods in which domestic equity inflows surpass foreign flows by a significant margin, as seen during 2015–2018, is the Indian stock market volatility not significantly influenced by foreign equity investments. However, during periods of re-emergence of strong foreign net inflows, the Indian market volatility is still being impacted significantly, as has been observed since 2019. Furthermore, we find that both large-scale net buying and net selling by domestic funds increased the stock market volatility as observed during 2015–2018 and COVID-impacted year 2020 respectively. The implications of this study are multi-fold. First, the regulators should discuss with industry bodies before enforcing major structural changes like reconstituting of mutual fund investment mandate in 2017 which forced domestic funds to quickly change portfolio allocation amongst large-cap, mid-cap and small-cap stocks resulting in higher stock market volatility. Second, adequate investor educational and awareness programmes need to be conducted regularly for retail investors to minimize herd behaviour of investing during market rise and heavy redemptions at times of fall. Third, the economic policies should be stable and forward-looking to ensure foreign investors remain attracted to the Indian stock markets at all times.

scholarly journals Understanding the Interdependency between the Nifty 50 Future Index and the Advanced Future Stock Market through Econometrics

2019 ◽  
Vol 8 (4) ◽  
pp. 3660-3664
Keyword(s):  
Hong Kong ◽  
Stock Market ◽  
Granger Causality ◽  
Foreign Exchange ◽  
Financial Market ◽  
Stock Prices ◽  
Economic Condition ◽  
The Future ◽  
Bidirectional Movement ◽  
High Degree

In recent times the stock market is accepted as a tool to measure the economic condition of a nation. It is found that the Indian financial market as highly volatile due to the lower value of rupees in foreign exchange with the dollar. This motivated the researchers to measure the interdependencies of [Nifty 50 future (India), Nikkei 225(Japan), NASDAQ 100 Futures (USA), Dow Jones 30 (USA), SSEC (China), Hang Seng Future (Hong Kong), and FTSE 100 (London)]. The analysis covers monthly stock prices for a period of 10years from April 2008 to March 2018. The measurement of interdependencies is studied through granger causality and correlation after the confirmation of the non-normality of data and stationary of data. The result shows a high degree of correlation between NASDAQ and Dow Jones shows 98.76% followed by 96.89% between Nifty 50 future and NASDAQ. The co-movement result of Nifty 50 future through granger causality states Nifty 50 future can explain the future stock market of Nikkei (Japan) and SSEC (China) and the Hang Seng future (Hong Kong) has a bidirectional movement with Nifty 50 futures. The study is useful for the investors to identify the interdependencies of the indices and understand the movement in a significant manner.

Price Transmission and Market Openness

1998 ◽  
Vol 01 (02) ◽  
pp. 215-232
Author(s):  
Lifan Wu ◽  
Asani Sarkar
Keyword(s):  
New York ◽  
Hong Kong ◽  
Stock Prices ◽  
Stock Markets ◽  
Stock Exchange ◽  
Price Transmission ◽  
New York Stock Exchange ◽  
Response Patterns ◽  
Price Behavior ◽  
York Stock Exchange

This paper studies the degree of impact of stock prices listed on the New York Stock Exchange and Tokyo Stock Exchange regarding price behavior in Asian stock markets. Our evidence shows that the pattern and magnitude of impact varies. Returns in Hong Kong, Singapore, and Malaysia are more sensitive than those in Taiwan, Korea and Thailand. The response patterns in the Asian markets suggest that foreign influence is significantly correlated to the degree of market openness.

Dynamic Modeling of Stock Market Interdependencies: An Empirical Investigation of Australia and the Asian NICs

2001 ◽  
Vol 04 (02) ◽  
pp. 235-264 ◽  
Author(s):  
Abul M. M. Masih ◽  
Rumi Masih
Keyword(s):  
Hong Kong ◽  
Stock Prices ◽  
Stock Markets ◽  
The Other ◽  
Substantial Contribution ◽  
Exogenous Shocks ◽  
Leading Role ◽  
Equilibrium Relationship ◽  
Short Run

This article examines the patterns of dynamic linkages among national stock prices of Australia and four Asian NIC stock markets namely, Taiwan, South Korea, Singapore and Hong Kong. By employing recently developed time-series techniques results seem to consistently suggest the relatively leading role of the Hong Kong market in driving fluctuations in the Australian and other NIC stock markets. In other words, given the generality of the techniques employed, Hong Kong showed up consistently as the initial receptor of exogenous shocks to the (long-term) equilibrium relationship whereas the Australian and the other NIC markets, particularly the Singaporean and Taiwanese markets had to bear most of the brunt of the burden of short-run adjustment to re-establish the long term equilibrium. Furthermore, given the dominance of the Hong Kong market in the region, the study also brings to light the substantial contribution of the Australian market in explaining the fluctuations to the other three markets, particularly Singapore and Taiwan. Finally, in comparison to all other NIC markets, Taiwan and Singapore appear as the most endogenous, with the former providing significant evidence of its short-term vulnerability to shocks from the more established market such as Australia.

Stock prices' long memory in China and the United States

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Zhengxun Tan ◽  
Yao Fu ◽  
Hong Cheng ◽  
Juan Liu
Keyword(s):  
Stock Market ◽  
Stock Prices ◽  
Long Memory ◽  
Stock Markets ◽  
Information Disclosure ◽  
Structural Breaks ◽  
Efficient Market Hypothesis ◽  
The United States ◽  
Chinese Stock Market ◽  
Content Type

PurposeThis study aims to examine the long memory as well as the effect of structural breaks in the US and the Chinese stock markets. More importantly, it further explores possible causes of the differences in long memory between these two stock markets.Design/methodology/approachThe authors employ various methods to estimate the memory parameters, including the modified R/S, averaged periodogram, Lagrange multiplier, local Whittle and exact local Whittle estimations.FindingsChina's two stock markets exhibit long memory, whereas the two US markets do not. Furthermore, long memory is robust in Chinese markets even when we test break-adjusted data. The Chinese stock market does not meet the efficient market hypothesis (EMHs), including the efficiency of information disclosure, regulations and supervision, investors' behavior, and trading mechanisms. Therefore, its stock prices' sluggish response to information leads to momentum effects and long memory.Originality/valueThe authors elaborately illustrate how long memory develops by analyzing not only stock market indices but also typical individual stocks in both the emerging China and the developed US, which diversifies the EMH with wider international stylized facts and findings when compared with previous literature. A couple of tests conducted to analyze structural break effects and spurious long memory demonstrate the reliability of the results. The authors’ findings have significant implications for investors and policymakers worldwide.

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