krishna murthy inumula
@siib.ac.in
Associate Professor
Symbiosis Institute of International Business
RESEARCH INTERESTS
Market Research and statistical models
Scopus Publications
Scopus Publications
JATIN TRIVEDI, MOHD AFJAL, CRISTI SPULBAR, RAMONA BIRAU, KRISHNA MURTHY INUMULA, and NARCIS EDUARD MITU
The National Research and Development Institute for Textiles and Leather
This research paper aims to examine the impact of the COVID-19 pandemic on volatility patterns and its global implication for the textile industry in China. The COVID-19 pandemic has generated a global health crisis with profound economic, social and financial implications, but also has triggered a ruthless global recession. The global economic recovery as a result of the COVID-19 pandemic can also generate significant investment opportunities for the textile industry in China. In this paper, the application of empirical methods could explain historical prices, the movement dynamics of financial assets, and investigate various important characteristics of asset pricing that explore details of the Chinese stock market. The econometric framework includes the following: symmetric Generalize Autoregressive Conditional Heteroscedastic GARCH (1, 1) model, asymmetric GARCH models such as EGARCH and GJR models. The main aim is to identify the asymmetric volatility effect, and impact of news on the SSE Composite Index and investigate long memory properties in volatility using daily data for the sample period from 19th December 1990 to 31st December 2020. This empirical study contributes to the existing literature on the impact of the COVID-19 pandemic on international stock markets, by investigating symmetric and asymmetric volatility patterns in the case of the Shanghai Stock Exchange from China
Sandip Solanki, Seema Singh, and Inumula Krishna Murthy
Asian Economic and Social Society
The relationship between agricultural exports and agricultural company performance in India is investigated in this research. The objective of the study is to find the relationship among agriculture firms’ financial performance and agriculture exports and macroeconomic indicators. System generalized method of moments (GMM) models are used to explore the dynamic linkage between exports and firm performance from 2012 to 2019. The findings indicate that agriculture exports have a significant negative correlation with interest rates, and the value addition of exports to GDP indicates that higher interest rates and more value addition to GDP results in a reduction in agriculture exports. This negative relationship between agriculture exports and the profitability of firms implies that an increase in exports potentially reduces the profit margins. The agriculture firms’ financial performance is closely monitored with agriculture exports, which facilitates the exploration of sectoral performance and can be linked with export performance for future studies. The study results cannot be generalized to the other countries due to demographic and other natural constraints. The results are critical for decision makers who want to develop strategies that support the agriculture sector. Implementing the right policies may incentivize investment in this industry. Furthermore, the results have significant theoretical consequences, bridging the theoretical and experimental literature gaps in the agricultural sector.
Sandip Solanki and Krishna Murthy Inumula
This research explores indicators of the attitudes, preferences, and features of customers who buy at farmers’ markets in India, using an intercept survey design. Single-stage purposive sampling was carried out in which consumers were targeted at weekend farmers’ markets at nine different locations within the state of Maharashtra, India. Over a 2-month period of data collection (eight weekend visits) a total of 255 consumers were interviewed on site at the time of purchase, from whom we collected 235 completed questionnaires. Consumers in the sample were divided into three clusters and were rated positively on all seven factors considered. The findings of the study are that in cluster 1, about 80% of consumers were willing to pay more at the farmers’ market rather than to go to a nearby retail outlet or supermarket. Cluster 2 comprised those consumers who prefer value for money while cluster 3 includes those consumers who gave a high rating to the hygiene and service conditions at the market. This research concludes that consumers are positive about the operation of farmers’ markets held near their home.
Krishna Murthy Inumula, Seema Singh, and Sandip Solanki
EconJournals
This study aims to empirically test the relationship between agriculture economic growth and energy consumption in India covering the annual time series data for the period 1985-2017 on four economic indicators namely agricultural value added (constant 2010 US$) as an alternate favoring fiscal development of agriculture, energy spending represented by agricultural electricity consumption (GWh), agricultural gas consumption (mmcft) and agricultural oil consumption (tons) in India. The study variables are assessed for stationary using the ADF tests and after confirming the same order of integration, the Johansen’s Co-integration Test is exercised to find the extended association amid agriculture growth and energy consumption. Both the Trace and Lmax tests found that there exists one co-integrating equation in the system. The co-integration test confirms the long run equilibrium relation between energy consumption and agricultural economic growth in India. The short run relationships are tested by using the VECM methodology and finally the impulse responses are studied for the forecast horizon of ten years period to assess the performance of agricultural growth Vis a Vis energy consumption by imposing one standard deviation shock to the independent variables.
Sandip SOLANKI, , Krishna Murthy INUMULA, and Asmita CHITNIS
Korea Distribution Science Association
This research paper examines the causal relationship between India’s economic growth and sectoral contribution to Gross Domestic Product (GDP) and vice versa, in the short-run and long-run, over a 10 years time period. Johansen’s method of cointegration is used to study the cointegration between the sectoral contributions to Indian GDP vis-a-vis India’s economic growth. Further, the route of interconnection between economic growth and sectoral contribution is tested by using Vector Auto Regression (VAR) model. Special attention was given for investigating impulse responses of economic growth depending on the innovations in sectoral contribution using time-series data from 1960 to 2015. This paper highlighted a dynamic co-relationship among industrial sector contribution and agricultural sector contribution and economic development. In the long run, one percent change in industrial sector contribution causes an increase of 3.42 percent in the economic growth and an increase of 1.12 percent in the primary sector contribution, while in the short run industrial and service sector contributions showed significant impact on economic development and agriculture sector. The changing composition of sector contribution is going to be an important activity for the policymakers to monitor and control where the technology and integration of sectors play a significant role in economic development.
Krishna Murthy Inumula*, , Anupama Tadamarla, K. Deeppa, , and
Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP
This article designs models and uses simulation to examine optimization of technical indicators in stock market: the Moving Average Convergence Divergence (MACD) and the Relative Strength Index (RSI). Based on sector-wise Nifty 50 group of companies’ daily closing price of the stocks from the year January 2013 to September 2018. This study is to demonstrate how the simulation of technical indicators MACD and RSI helps investor in reducing the trading cycles of investment with better profits in the long run. Results concluded that the experimentation of optimization of technical indicators is one-step forward in making profitable trades as it is evident from the nifty50 stocks. Furthermore, it also proves that both the optimized MACD and RSI outperformed the standard MACD, standard RSI and Buy& Hold strategy.