GEETA DUPPATI

Dr. GEETA DUPPATI


Research Focus & Metrics

Academic Career Length

17Years (2010-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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4 November 2019 in Applied Economics
Verified
Journal Article
Closed access
GDGEETA DUPPATI
GEETA DUPPATI
NRNarendar V. Rao
Narendar V. Rao
NMNeha Matlani
Neha Matlani
FSFrank Scrimgeour
Frank Scrimgeour
DPDebasis Patnaik
Debasis Patnaik
This study investigates if gender diversity on boards is an effective driver of financial performance. For this purpose, this study choses two countries, one of which has the soft law approach (Singapore) while the other has mandatory requirements (India) on corporate boards gender diversity. By doing so, it examines if there is a comparability between the listed firms of the two countries. Our results suggest that the gender diversity has a positive and significant effect on the financial performance of the firms of both the countries. Although, the gender diversity of the two countries does not seem to affect the growth opportunities of both the countries. Further, our results indicate that the board characteristics affect the performance positively and significantly when the sample is divided into five quantiles for the firms in these two countries. These findings have implications to the managerial decision making and relevance to stewardship theory and resource dependency theory.

24 January 2021 in Applied Economics
Verified
Journal Article
Closed access
HSHideaki Sakawa
Hideaki Sakawa
NWNaoki Watanabel
Naoki Watanabel
GDGEETA DUPPATI
GEETA DUPPATI
RFRobert Faff
Robert Faff
Agency theory predicts that institutional ownership plays an important role in monitoring corporate risk-taking. This study examines this ownership-risk taking linkage in Japan over the period 2007 and 2019. We proxy risk through measures of idiosyncratic risk, total risk, and market beta. We show that (relational) foreign institutional shareholdings (do not) induce corporate risk-taking, thereby mitigating (preserving) the managerial ‘quiet life’ in Japanese corporations. Using 2SLS analysis, the roles of institutional shareholders are robust to endogeneity concerns. Finally, we also confirm robustness using alternative accounting-based risk proxies such as the standard deviation of Tobin’s Q and ROA. Our study implies that the monitoring of institutional shareholders is important in Japanese corporations whose top executives might be prone to seek a ‘quiet life’.

21 March 2019 in Applied Economics
Verified
Journal Article
Closed access
AAAbidin Alhassan
Abidin Alhassan
LLLeon Li
Leon Li
Krishna ReddyKrishna Reddy
Krishna Reddy
GDGEETA DUPPATI
GEETA DUPPATI
This paper examines the effect of formal financial intermediation (inclusion) on informal financial intermediation and the use of cash for economic activities. Using data from the Global Findex 2014, we examine whether the use of formal financial intermediaries reduces cash preference and the use of informal financial intermediaries. Our empirical results show that informal financial intermediation is positively associated with formal financial inclusion. This indicates that the relationship between informal and formal financial intermediation is complementary rather than a trade-off, which demonstrates the importance of informal finance plays in the financial system of Africa. Moreover, the use of formal financial intermediaries significantly reduces the preference for holding cash, implying that a robust financial system infrastructure has the potential of mobilizing excess liquidity in the informal economy of Africa for growth and development.

1 April 2019 in Corporate Governance: The international journal of business in society
Verified
Journal Article
Closed access
GDGEETA DUPPATI
GEETA DUPPATI
FSFrank Scrimgeour
Frank Scrimgeour
ASAlbert Sunyer
Albert Sunyer
Purpose: This paper aims to examine the relevance of boards in driving firm level performance. For this purpose, it considers firms listed on Ireland and Spain stock exchanges for the period 2005 to 2014, over a period that includes the global financial crisis.Design/methodology/approach: This study uses panel data regression analysis to analyse the effects of board characteristics on performance and also uses alternate model specifications to test the significance of robustness of relationships.Findings: The impact of board size on performance is negative and significant for Irish and Spanish firms for the study period. In general, the board independence has a positive effect on the performance of Spanish firms for the complete study period and suggests consistency with the resource dependency theory.Research limitations/implications: The analysis suggests that in general, the non-executive and the board size do not affect the corporate performance of Irish and Spanish firms during the financial crisis. The fixed effects model suggests positive effects of gender diversity on performance for Spanish firms, while the random effects indicates negative relationship between gender diversity and performance for Irish companies.Practical implications: The evidence on the Spanish firms suggests that female representation on the boards may be critical during the financial crisisSocial implications: The quota legislation on female board representation in Spain is yielding superior results over the soft law approach by Irish firms during the times of financial crisis period.Originality/value: This study contributes to the literature on the corporate governance practices and performance of two countries that were strongly affected by the crisis in the European Union. As governments increasingly contemplate board gender diversity policies, this study offers useful empirical insights on Spanish and Irish firms.

7 February 2024 in The British Accounting Review
Verified
Journal Article
Open access
Douglas CummingDouglas Cumming
Douglas Cumming
GDGEETA DUPPATI
GEETA DUPPATI
RFRuwani Fernando
Ruwani Fernando
SSShivendu Pratap Singh
Shivendu Pratap Singh
Aviral Kumar TiwariAviral Kumar Tiwari
Aviral Kumar Tiwari

7 August 2017 in Pacific Accounting Review
Verified
Journal Article
Closed access
GDGEETA DUPPATI
GEETA DUPPATI
AKAnoop S Kumar
Anoop S Kumar
FSFrank Scrimgeour
Frank Scrimgeour
LLLeon Li
Leon Li
Purpose: The purpose of this paper is to assess to what extent intraday data can explain and predict long-term memory.Design/methodology/approach: This article analysed the presence of long-memory volatility in five Asian equity indices, namely, SENSEX, CNIA, NIKKEI225, KO11 and FTSTI, using five-min intraday return series from 05 January 2015 to 06 August 2015 using two approaches, i.e. conditional volatility and realized volatility, for forecasting long-term memory. It employs conditional-generalized autoregressive conditional heteroscedasticity (GARCH), i.e. autoregressive fractionally integrated moving average (ARFIMA)-FIGARCH model and ARFIMA-asymmetric power autoregressive conditional heteroscedasticity (APARCH) models, and unconditional volatility realized volatility using autoregressive integrated moving average (ARIMA) and ARFIMA in-sample forecasting models to estimate the persistence of the long-term memory.Findings: Given the GARCH framework, the ARFIMA-APARCH long-memory model gave the better forecast results signifying the importance of accounting for asymmetric information when modelling volatility in a financial market. Using the unconditional realized volatility results from the Singapore and Indian markets, the ARIMA model outperforms the ARFIMA model in terms of forecast performance and provides reasonable forecasts.Practical implications: The issue of long memory has important implications for the theory and practice of finance. It is well-known that accurate volatility forecasts are important in a variety of settings including option and other derivatives pricing, portfolio and risk management.Social implications: It could be said that using long-memory augmented models would give better results to investors so that they could analyse the market trends in returns and volatility in a more accurate manner and reach at an informed decision. This is useful to minimize the risks.Originality/value: This research enhances the literature by estimating the influence of intraday variables on daily volatility. This is one of very few studies that uses conditional GARCH framework models and unconditional realized volatility estimates for forecasting long-term memory. The authors find that the methods complement each other.