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The purpose of this study is to determine and compare the performance of small and medium enterprises (SME) and manufacturing company stock portfolios in the Indonesian, Chinese and Indian capital markets by the Sharpe Index and the significance of differences in average performance in the capital market.

This is comparative research that compared the performances of SME and manufacturing company stock portfolios in Indonesian, Chinese and Indian capital markets. The hypothesis examination of comparative test used one-way ANOVA technique on the performance of SME and manufacturing company stock portfolios in Indonesian, Chinese and Indian capital markets. One-way ANOVA test was used in the analysis to test the average difference of performance indices of SME and manufacturing company stock portfolios is in Indonesian, Chinese and Indian capital markets.

The performance of SME and manufacturing company stock portfolios in Indonesian capital market was not better than the performances of IHSG and LQ45 Index, the performance of SME and manufacturing company stock portfolios in Chinese capital market (SZSE) was better than the performance of Shenzhen Composite Index and the performance of Shenzhen A-Share Stock Price Index. The comparison of the performances of SME and manufacturing company stock portfolios in Indonesian, Chinese and Indian capital markets showed that the performance of SME and manufacturing company stock portfolios in Chinese capital market was the best and the performance of SME and manufacturing company stock portfolios in Indonesian capital market was the lowest.

The implication of this study was that SME and manufacturing company stock portfolios had relatively better performances in China and India, so investors should consider investing in SME and manufacturing company stocks. The performance of SME and manufacturing company stock portfolios in Indonesia was not able to exceed market and LQ45 portfolios, so the authority in Indonesia financial market should consider developing a special market for SME and manufacturing company to support the development of SME and manufacturing company in Indonesia and solve the problem of lack of funding source for SME and manufacturing company.

The originality of the present study is in the measurement of the performance of SME and manufacturing company stock portfolio by risk-adjusted return which returns per risk unit measured by Sharpe Index as a more beneficial measurement in measuring stock portfolio performance than average return. Comparative study of the stock portfolio performances of small medium enterprises and manufacturing company In Indonesian, Chinese and Indian stock markets, and object studies conducted in Indonesia, China and India.

This paper aims to study the weak form of efficiency of Indian capital market during the period of global financial crisis in the form of random walk.

The study considered daily closing prices of S&P CNX Nifty, BSE, CNX100, S&P CNX 500 from April 1, 2005 to March 31, 2010. The data source is the equity market segment of NSE and BSE. Both parametric and nonparametric tests (“ex‐posts” in nature) are applied for the purpose of testing weak‐form efficiency. The parametric tests include Augmented Dickey‐Fuller (ADF) unit root tests and nonparametric tests include Phillips‐Perron (PP) unit root tests and Run test. ADF tests use a parametric autoregressive structure to capture serial correlation and PP tests use non‐parametric corrections based on estimates of the long‐run variance of ΔY_t.

The results suggested that the Indian stock market was efficient in its weak form during the period of recession. It means that investors should not be able to consistently earn abnormal gains by analysing the historical prices. Hence one should not be able to make a profit from using something that everybody else knows.

The study reports that all the stocks in these selected indices are fundamentally strong and their prices are not influenced largely by historical prices and other relevant factors which came from industry and any other information that is publically available. Thus it can be concluded that the Indian stock market was informationally efficient and no investor can usurp any privileged information to make abnormal profits.

Where past studies have examined the weak‐form of efficiency of various markets and the effect of globalisation and global financial crisis on the various sectors of developing and emerging economies, this paper attempts to study the weak form of efficiency of the Indian capital market in the period of recession in the form of random walk.

This paper seeks to estimate and analyze the relationship between intellectual capital and corporate conventional financial performance measures of Indian software and pharmaceutical companies for a period of five years from 2002 to 2006.

Annual reports, especially the profit and loss accounts and balance sheets of the selected companies for the relevant years have been used to obtain the data. International literatures on intellectual capital with specific reference to measurement tools and techniques have been reviewed. Value Added Intellectual Coefficient^TM (VAIC) method is applied for measuring the value based performance of the companies. Corporate conventional performance financial measures used in this analysis are: profitability; productivity; and market valuation. It is an empirical study using multiple regression analysis for the data analysis. The intellectual capital (human capital and structural capital) and physical capital of the arbitrarily selected companies have been analyzed and their impact on corporate performance has been measured using multiple regression technique.

The analysis indicates that the relationships between the performance of a company's intellectual capital and conventional performance indicators, namely, profitability, productivity and market valuation, are varied. The findings suggest that the performance of a company's intellectual capital can explain profitability but not productivity and market valuation in India.

The study has been conducted on a small sample of 80 companies belonging to the India software and pharmaceutical sectors. For a better understanding, a larger data set covering all prominent industry segments will be helpful.

Intellectual capital is an area of interest to numerous parties, e.g. shareholders, managers, policy makers, institutional investors. This paper throws some light on the new performance indicator, which Indian managers can use in order to evaluate the corporate performance and benchmark it with global standards. This is useful particularly in the context of the “knowledge economic” environment.

The paper represents a pioneering attempt to understand the implications of the business performance of the Indian software and pharmaceutical sectors from an intellectual resource perspective.

This chapter seeks to analyze the development across the length and breadth of the Indian financial system in the post-reform period, based on the “flow of funds” accounts estimates by RBI. Besides, this chapter also analyzes the integration of the Indian capital market with the stock markets of the United States, the United Kingdom, Japan, China, Hong Kong, and Singapore using the movements in their stock prices during 1998–2015. Moreover, this chapter is intended for examining the potential implication financial integration, particularly the financial openness of India, on volatility spillover and financial contagion in as much as these two issues have emphatic significance in the determination of the relevant policy roadmap. Our findings broadly confirms the expectations by revealing significantly positive correlations in stock prices, in returns to investments in stock markets, and in mean returns and risk. The integration of the capital markets is also manifested in the cyclical fluctuations of the stock price indices, signifying the underlying sensitivity to random shocks.

India is one of the largest IPO markets in the world. However, IPO research in the developing world is limited. The purpose of this paper is to test the performance of Indian IPOs based on sponsored vs non-sponsored issues. The authors classify the IPO sample into venture capital (VC) and private equity (PE) sponsored issues and non-sponsored ones and include key operating characteristics as performance predictors.

The dependent variable is the buy-and-hold abnormal returns. The study uses key operating characteristics such as market capitalization, net sales, earnings before interest, taxes, depreciation and amortization, depreciation and amortization, price-to-book, asset turnover and leverage. A cross-sectional analysis is applied to test the long-run performance.

Sponsored IPO issues convey favourable information to investors about future earnings and prospects of the firm. The findings indicate that sponsored issues and, in particular PE sponsored issues are perceived by investors as having a positive impact on the operational performance of firms that the PE firms are involved in relative to the constituents of the index and this superior operational performance over time also leads to relatively better performing share prices. There are significant differences in terms of market size, industry classification and key operating characteristics across the three groups of issues.

This study has had to deal with much smaller samples of PE and VC when compared to similar studies conducted in the developed markets such as the UK and the USA. Further robustness tests on the market performance using factor models posed a problem due to limitation of the availability of these factors.

For the capital markets investors and policy makers, this research demonstrates the increasingly important role that PE and VC funds play in the investment landscape in India. It exhibits the increasing investor confidence in the Indian capital markets.

Using a sample of Indian IPOs comprising VC sponsored and PE sponsored issues, this study analyses the performance of Indian IPOs in an emerging market setting. This study, thus, contributes to the limited IPO research undertaken in developing markets.

The purpose of this paper is to examine the relationship between corporate reputation and initial public offering (IPO) underpricing for a sample of 269 IPOs hitting the Indian capital market for the first time during the period ranging from April 1, 2007 to November 8, 2016.

The study is based on secondary data (of 269 Indian companies going public) obtained from websites of capital market, Chittorgarh and Securities and Exchange Board of India (from where prospectus of each company was downloaded individually to extract data on financial variables). The study devises the technique of multivariate regression analysis to arrive at the results.

The results of the study reveal that corporate reputation serves as a signal to naive investors that assures them of issuer company’s credibility, resulting in lower underpricing. In addition to it, the study also observes the level of gender diversity on Indian boards. It is disappointing to notice low level of female representation on Indian boards and the improvement if any made in the number of female directors on Indian boards is due to provisions of new companies’ act, 2013 that mandates at least one women director on the board of every listed company. Thus, females do not constitute a critical mass on Indian boards.

The current study scrutinizes the impact of corporate reputation on IPO underpricing only. Furthermore, the study analyzes the underpricing of only book built IPOs. Incorporating both book built and fixed price IPOs could have provided better insights into the issue.

The study outlines significant implications for managers of issuer company to portray company’s own reputation as a signal instead of showcasing borrowed reputation of external agents at the crucial juncture of going public.

Many signals portraying quality of the offering are sent by issuer company in public arena to make IPO launch a successful event. Among many such signals like underwriting reputation, auditor reputation, director’s and CEO’s reputation, the corporate audience has started giving more impetus to issuer company’s own reputation. Thus, financial academia witnessed a paradigm shift from external agents reputation to internal agent’s reputation and now the loci of interest has shifted to company’s own reputation. Giving emphasis to corporate reputation seems more relevant in emerging economies like India where naive investors rely on their own judgments while making investment decision who take clue from various signals to infer quality of the offer. It is momentous to observe whether reputation of the company acts as a conspicuous signal to decipher IPO quality. Furthermore, there hardly exists any empirical research directly examining the impact of corporate reputation on IPO underpricing in the Indian context. Hence, the present study is a modest attempt to fill this gap in literature.

One of the anxieties of stock market investors is whether the markets operate efficiently, independently and with sound fundamentals. This concern is also held by academics and practitioners for quite some time. However, real market situation tends to exhibit a link as is evident from recent market movements across the world. The purpose of this paper is to examine whether the stock markets in the Indian subcontinent have any link with the major stock markets from China, Singapore, America, and Hong Kong.

The paper uses Engle Granger test of cointegration.

The paper finds that the Indian markets are related to some of the markets around the world.

The paper offers insight into the cointegration of Indian stock markets with other leading stock markets.

The purpose of this paper is to examine if the volatility in the US dollar interest rate swap market impacts the volatility of the swap rates in the Indian swap market.

The authors use GARCH, EGARCH, and TGARCH modeling to examine volatility spillover between the US and Indian interest rate swap markets.

Evidence is found of volatility transmission from the US dollar interest rate swap markets to the Indian swap markets. There is no evidence of spillover from the Indian swap markets to the US swap markets. Furthermore, the spillover impact from the US markets to the Indian markets is also asymmetric. The impact on volatility is asymmetric for one‐year swaps, but not for five‐year swaps.

Findings from this study will also identify any arbitrage opportunities that may exist between different segments of the US dollar interest rate swap markets and help to improve interest rate swap market efficiency.

If the financial market liberalization process in these nations has been successful in integrating their market into the pool of the world market, then a foreign investor would not demand a risk‐premium in the returns on deposits in these markets. The findings of this paper are also relevant for other emerging markets' policy makers, as they try to become more integrated in the global economy and try to resolve market inefficiencies and country risk so that obstacles to foreign investments can be removed.

The purpose of this paper is to examine the long‐run relationship between the Indian capital markets and key macroeconomic variables such as interest rates, inflation rate, exchange rates and gross domestic savings (GDS) of Indian economy.

Quarterly time series data spanning the period from January 1995 to December 2008 has been used. The unit root test, the co‐integration test and error correction mechanism (ECM) have been applied to derive the long run and short‐term statistical dynamics.

The findings of the study establish that there is co‐integration between macroeconomic variables and Indian stock indices which is indicative of a long‐run relationship. The ECM shows that the rate of inflation has a significant impact on both the BSE Sensex and the S&P CNX Nifty. Interest rates on the other hand, have a significant impact on S&P CNX Nifty only. However, in case of foreign exchange rate, significant impact is seen only on BSE Sensex. The changing GDS is observed as insignificantly associated with both the BSE Sensex and the S&P CNX Nifty. The paper, on the whole, conclusively establishes that the capital markets indices are dependent on macroeconomic variables even though the same may not be statistically significant in all the cases.

This study emphasises on the impact of macroeconomic variables on the stock market performance of a developing economy, whose performance is measured by these variables.

The purpose of the present study is to make a comparison of intellectual capital performance between Indian pharmaceutical and textile industry. Further, the study attempts to investigate association between intellectual capital efficiency with financial performance and market valuation.

An empirical study was carried out on data collected from CMIE database Prowess. VAIC was calculated on a select sample of 105, pharmaceutical companies and 102, textile companies. Correlation and OLS regressions models are used on panel data for the analysis.

Results indicated that profitability and intellectual capital are positively associated but no significant relationship is observed between intellectual capital with productivity and market valuation in both industries. In spite of the growing importance of intellectual capital, its reflection is not proportionally observed in the financial performance of the select sample of companies.

A more detailed study may be carried out taking the major knowledge‐intensive industries with cross‐section analysis to have better assessments of the results.

The present study extends the knowledge of academician and managers about intellectual capital performance and its impact on financial and market performance of the companies. They may enhance the profitability and productivity of the companies by proper utilization of intellectual capital.

Present study extends the knowledge of intellectual capital performance and its utilization for increasing the financial and market performance of the companies.