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The commodity and equity derivatives have a close resemblance between them in trade practices and mechanisms, which makes it easy for the investors to combine these two assets classes for building up their portfolio. The diversification of investment among asset classes builds some relation between them. The integration of market within a country is necessary to bring in a smooth and balanced economic growth. Thus, the purpose of this paper is to examine the spillover between the equity and commodity futures markets which will be helpful not only for the investors but also for the policy makers, producers and the regulators.

To examine the spillover between the equity and commodity market, the major benchmarking indices of these markets, namely COMDEX of MCX, Dhaanya of NCDEX and NIFTY 50 of NSE, were chosen. NIFTY 50 index was chosen as representative of equity market due to its composition of most active constituent stocks than any other broad market index of Indian stock market. As the commodity market indices are not been traded, their constituent commodities were taken for the study. Thus, 11 MCX-COMDEX constituents such as Gold, Silver, Copper, Zinc, Aluminum, Nickel, Lead, Crude oil, Natural gas, Kapaskhali and Mentha oil and eight NCDEX-Dhaanya constituents such as Castor seed, Chana, Cotton seed oilcake, Jeera, Mustard seed, Refined soy oil, Turmeric and Wheat futures prices were taken against the NIFTY 50 futures prices with daily trading data for ten years starting from January 1, 2006 till December 31, 2015 to analyze their spillover effect. The return series data were used to test the spillover between equity and commodity futures market as it gives the crux of investors’ diversification through the Vector Autoregression (VAR) model and verified with Impulse Response Function by testing the null hypothesis, H₀, that there is no return spillover between the equity and commodity futures market.

The investors move from equity to commodity when there is a threat in equity market and vice versa, thereby diversify their risk for those commodities which are vulnerable to global and domestic pressures in the economy. Investigating the spillover between equity and commodity market gives an insight of market integration effect. A nation can achieve its economic growth easily when its markets are integrated.

The commodity indices are still notional indices in the market; therefore, individual constituent commodities of commodities indices were considered with the benchmarking equity futures index, which is one of the limitations of the study.

The integration of market within a country is necessary to bring in a smooth and balanced economic growth.

Most of the past studies dealt only with few commodities and equities and not with the broad-based benchmarking indices. This paves way for enquiry into the commodity and equity markets integration with the major constituent commodities traded in the economy. Hence, this paper looks into the presence of spillover between the equity and commodity markets. The VAR model is verified with the impulse response function which explains the reaction of any dynamic system in response to a pulse change in another. The impulse response function is presented graphically for easy and better understanding.

The purpose of this paper is to examine the mimicking behaviour of institutional investors in the stock market.

The study focusses on examining the herding behaviour among institutional investors in the stock market by considering the bulk and block trade on the constituent NIFTY 50 index during the period 2005–2015 using Lakonishok–Schleifer–Vishny (1992) model. The study also aims to find out whether their herding behaviour is intentional or unintentional in nature.

The findings of the study showed no sign of herding behaviour in the market; out of 50 constituent stocks of NIFTY 50, there was significant herding in 15 stocks, with buy herding in 11 stocks and sell herding in four stocks, and remaining 35 stocks were totally free from herding behaviour. In addition, the results proved that the herding behaviour observed on the stocks is of unintentional in nature.

Present study is limited to the use of constituent stocks of the Benchmarking Index NIFTY 50.

This study is the first attempt to investigate the herding behaviour of institutional investors in the market using bulk and block trade and also to explore their intent in herding behaviour.

The purpose of this paper is to explore the determinants of international reserves in Algeria using economic growth and real effective exchange rate variables. The paper used quarterly data from 1985Q1 to 2014Q4.

The study employs autoregressive distributed lag (ARDL) approach known as the bounds testing method. The ARDL technique works well for small sample studies also. The current study assesses the influence of economic growth and real effective exchange rates on international reserves in Algeria by evaluating both short-run and long-run dynamics.

The study establishes a long-run relationship between international reserves, economic growth and real effective exchange rate. It also reveals that economic growth has a positive impact on international reserves while real effective exchange rate shows a negative effect.

This paper tries to provide a complete picture of the determinants of international reserves in Algeria. Foreign trade policy makers of Algeria can use the model estimated here to draw pertinent policies regarding international reserves.

The purpose of this paper is to understand the citation behavior of Pondicherry University faculty with a focus on their recent publication experience, indexed in Scopus. The paper endeavors to gain an insight into their pattern of citation of scientific papers and attempts to understand the underlying motive in doing so especially in an era where information resources have transitioned from print to digital.

The study adopted a judgmental sample consisting of 100 selected faculty members whose recent papers were indexed by Scopus database. A pre-defined questionnaire consisting of demographic profile and 23 items on citation trust and authority statements of citing sources was self-administered to them.

The findings of the study indicate that the citation behavior of faculty in Pondicherry University is complex and multi-faceted. Although majority of the faculty depicted an inclination toward normative citation behavior (concerned with the intellectual content of the work), there are others who displayed social constructivist (concerned with the social aspects of the work) citation behavior as well. However, in spite of the differences observed in the citation behavior of the faculty, it was observed that they remained traditional while making trust decisions even in the digital era. Finally, findings suggest no statistical significant difference when it comes to variables, such as gender and discipline in the citation behavior of the faculty.

Given the ever-increasing importance of citation in judging the quality of research journals, in ranking institutions and in determining the efficacy of faculty in India, author-based approach of understanding citer motivation definitely carry research value.

The purpose of this paper is to examine industry herding among the institutional investors and to find whether their herding behaviour is intentional or unintentional.

The study uses Lakonishok et al. (1992) model to examine the presence of industry herding behaviour among institutional investors. To determine whether the herding observed is intentional or unintentional, herding measure is regressed with volatility, volume, beta and return. The period of the study is from 1 April 2005-31 March 2015.

The findings of the study showed that though institutional investors have herding tendency towards most of the industries, in the overall period industry herding was not significant. The herding found in some industrial sectors was linked to economic performance of those sectors in India during the period of study and hence the herding was unintentional in nature.

This is the first attempt to study industry herding among institutional investors and their intent in Indian market ever since the country opened its market to foreign investors in a big way. Present study is limited to the use of only bulk/block data instead of the entire trading data for the period.

This study is the first attempt to investigate industry herding behaviour of institutional investors in the market using their bulk and block trading data. The herding observed in well performing industries has been shown to be unintentional and hence rational. The results indicate that the entry of big institutional investors, including foreign institutions into the Indian market has not destabilised the market by irrational herding.

The purpose of this paper is to examine the relationship between electronic journal downloads and citations and whether online electronic resource usage can be adopted as an alternative to citation for evaluation of scholarly discourse.

A consolidated 16 publishers’ COUNTER usage data of UGC-Infonet members was collected from INFLIBNET Centre. The usage was meticulously filtered from UGC-subscribed journals and institutional subscriptions. The quantitative data were analysed to establish the relationship between download, impact factor (IF) and price. Multiple regression analysis was used to assess the influence of price and IF on usage and to predict the usage when they are known and the threshold for significance was set at p < 0.05.

There exists a relationship between IF and downloads of journals in UGC-Infonet. Journal IF and price significantly influence usage, where journal IF plays an important role in the intensity of the use. Also, the top 25 hottest downloaded papers were journals with IF; hence, no journal without IF featured in the top 25 most downloaded journals in the consortia. The relationship between the top 25 IF journals in the consortia and download is strong (r = 0.368537).

The only account that reports on the relationship between journal IFs and downloads for UGC-Infonet consortia. Also, the influence of usage behaviour with respect to citation and price of a journal.

This paper aims to examine the impact of the daily growth rate of COVID-19 cases in the USA (COVIDg), the Federal Fund Rate (FFR) and the trade-weighted US dollar index (USDX) on S&P500 index daily returns and its 11 constituent sectors’ indices for the time period between January 22, 2020, until June 30, 2020.

The study uses the multivariate generalized autoregressive conditional heteroscedasticity (MGARCH) model to gauge the impacts over the whole period of study, as well as over two sub-periods; first, January 22, 2020, until March 30, 2020, reflecting uncertainty in the US markets and second, from April 1, 2020, until June 30, 2020, reflecting the lockdown.

Results of the MGARCH model reveal a negative and significant relation between COVIDg and S&P500 index daily returns over the first sub-period and the whole study period in the following sectors, namely, communications, consumer discretionary, consumer staples, health, technology and materials. Yet, COVIDg showed a positive and significant relation with S&P500 index daily returns during the second time period in the following sectors, namely, communication, consumer discretionary, financial, industrial, information technology (IT) and utilities. Besides, USDX showed a negative significant effect on S&P500 index daily returns and on the daily return on each of its 11 constituent sectors over the second sub-period and the whole period. Further, FFR showed a significant effect only in the second sub-period, specifically, a negative effect on the daily return of the financial sector and a positive effect on the daily return of the technology sector index. Nevertheless, FFR had a positive significant effect on the daily return of the utilities sector index for the whole period under study.

The impact of the crisis on the S&P500 index can be assessed only with some limitations owing to available global data and the limited time frame of the lock-down.

The study proposes supporting a smooth, functioning and resilient financial system; increasing fiscal measures by the US Government to increase liquidity on constraints; measures by The Federal Reserve to alleviate US dollar funding shortages; support market integrity; ensure continuous transparency and sharing of information; support the health sector, as well as consumer-based sectors that faced demand shocks and facilitate investments in the technology sector.

The originality of this paper lies in the examination of the impact of the novel COVID-19 pandemic on each of the 11 sectors constituting the S&P500 index separately, reflecting how the main economic sectors formulating the US economy reacted to the shock during the peak time of the pandemic to observe a full picture of the economic consequences amid the pandemic.

This paper investigates herding behavior and its persistence among foreign institutional investors (FIIs) in the individual stocks of the energy sector of Indian stock exchange by focusing on post turmoil period. The study also examines the relation of herding with the individual return, market return, trading volume and conditional volatility of individual and market return.

The presence of herding is investigated by Lakonishok et al. (1992) model, value-based and count-based herd ratio measure among FIIs in individual stock of energy sector post turmoil period. Further, run test was employed to check the persistency in herding and multivariate distributed lag to investigate the relationship with the market determinant.

The result indicates the existence of herding in most of the companies and strong persistence in all the companies. The intensity of buy side herding is higher than sell side. Herding and individual return both are significant driving forces of FIIs herding, while trading volume and market volatility in few companies exhibit inverse relationship.

This study is limited to investigation of energy sector stock.

Stock market is significantly influenced by FIIs and their propensity to herd may generate instability in the stock market. Therefore, regulatory authority should continuously monitor the flow of fund by FIIs.

Herding in the individual stock of the energy sector was not previously performed.

Building supply chain resilience is increasingly recognized as an effective strategy to deal with supply chain challenges, risks and disruptions. Nevertheless, it remains unclear how to build supply chain resilience and whether supply chain resilience could achieve a competitive advantage.

By analyzing the data collected from 216 firms in China, the current study empirically examines how information technology (IT) capability and supply chain collaboration affect different forms of supply chain resilience (external resilience and internal resilience) and examines the performance implications of these two forms of supply chain resilience.

Results show that IT capability is positively related to external resilience, whereas supply chain collaboration is positively related to internal resilience. The combination of IT capability and supply chain collaboration is positively related to external resilience. In addition, internal resilience is positively related to firm performance.

This study used only cross-sectional data from China for hypothesis testing. Future studies could utilise longitudinal data and research other countries/regions.

The findings systematically assess how IT capability and supply chain collaboration contribute to supply chain resilience and firm performance. The results provide a benchmark of supply chain resilience improvement that can be expected from IT capability and supply chain collaboration.

The study findings advance the understanding of supply chain resilience and provide practical implications for supply chain managers.

The purpose of this study is to assess the effects of demographic groups (i.e. gender groups, marital status groups, age groups, income groups, experience groups, education groups and occupation groups) on socially responsible consumption (hereafter SRC) behaviour.

The study was carried out in Chennai city, the capital of Tamil Nadu state of India. A total of 214 responses were collected during the survey. The respondents were the university staff composed of lecturer/professor, lab instructor, admin staff and support staff. A socially responsible purchase and disposal scale has been used to measure SRC behaviour amongst consumers. The convenience sampling technique was used for data collection. Independent-samples t-test and one-way analysis of variance (ANOVA) techniques were used for hypotheses testing.

Factor analyses confirmed the multidimensional structure of the SRC construct with the following axes: firms’ internal corporate social responsibility (hereafter CSR) performance, firms’ external CSR performance, firms’ environmental CSR performance and consumers’ personal social responsibility. In addition, this study found that demographic groups have no effects on SRC behaviour.

The current research will be a step forward to a richer and more inclusive understanding of the effects of demographic groups on SRC behaviour.

This study would help managers to understand consumer markets, formulate strategy and develop sustainable products.

This study is amongst the few attempted to examine the effects of demographic groups on SRC behaviour amongst consumers. This research endeavoured to validate the multidimensional nature of the SRC construct.