Investment In India Research Articles

Analysis of innovative mechanisms for solving housing problems in the Russian Federation

Introduction. The study of the problems of families wishing to improve their housing conditions has revealed an increase in the level of need of the population, where innovative mechanisms implemented on the basis of programs for the resettlement of residents from dilapidated and emergency housing are of particular importance. Complex socio-economic processes of the last three years only aggravate these problems.
 Materials and methods. We used open statistical data on the cost of housing and investment indices, data on the dynamics of housing affordability in cities and urban agglomerations. Data processing was carried out using structural, comparative and statistical analysis. The material for the study were the works of domestic and foreign authors, describing the experience of implementing innovative mechanisms to solve housing problems. The analysis of factors affecting the effectiveness of implementation of the basic elements of the innovative mechanism to solve housing problems in the Russian Federation was carried out according to the algorithm of correlation and regression analysis using MS Excel tools.
 Results. The paper presents the results of the study of the values of housing costs and indicators of investment indices as of 2021. The study made it possible to assess the changes taking place in the dynamics of housing affordability in cities and urban agglomerations, to identify the composition of the main elements of the innovative mechanism for solving housing problems in Russia. Structured the elements of the mechanism for solving the housing problem through a system of state regulation, the mechanism of external regulation, the system of leverage, and innovative tools. The key factors affecting the resulting indicator — the proportion of families who have the opportunity to buy housing were identified.
 Conclusions. The paper presents the results of the study of the values of housing costs and indicators of investment indices as of 2021. The study made it possible to assess the changes taking place in the dynamics of housing affordability in cities and urban agglomerations, to identify the composition of the main elements of the innovative mechanism for solving housing problems in Russia. Structured the elements of the mechanism for solving the housing problem through a system of state regulation, the mechanism of external regulation, the system of leverage, and innovative tools. The key factors affecting the resulting indicator — the proportion of families who have the opportunity to buy housing were identified.

A comparison of investment behavior, attitudes, and demographics of socially responsible and conventional investors in India

PurposeIndia is an emerging economy and one of the preferred investment destinations for environmental, social and governance (ESG) fund issuers. Institutional investors invest retail investors’ money, and hence, it becomes imperative for ESG fund managers to understand the social investment preferences of retail investors. This study aims to compare the Indian socially responsible (SR) investors and conventional investors in terms of their socially responsible investment (SRI) awareness level, opinions about broad and specific ESG issues, investment behavior and demographics. In addition, this paper makes an attempt to have a deeper insight into Indian investors’ behavior toward SRI by segmenting the Indian retail investors based on their SRI awareness level, attitude toward ESG issues and intention to accept lower financial returns, and choices made by them as consumers.Design/methodology/approachAfter collecting the data through the survey method an independent t-test is used to compare SR investors with conventional investors. Chi-square has been used to analyze the data related to demographics, and cluster analysis is used to identify segments among Indian retail investors.FindingsThe results indicated that Indian SR investors’ SRI awareness level is more, they are more concerned about broad and specific ESG issues, they are more into faith-based investing, and are responsible consumers vis-à-vis conventional investors. As per demographic, SR investors are in the middle age group of 30–40 years, male, hold a postgraduate degree and have an annual income of 10–20 lakhs in comparison to conventional investors. The results of cluster analysis indicated that Indian retail investors can be classified into three groups based on their SRI awareness, intention to sacrifice financial return, attitude toward ESG issues and choices made by them as consumers.Research limitations/implicationsResults have implications for national and international fund managers, policymakers, regulators and society. These results will help mutual fund companies to provide curated SR mutual funds as per the behavior and choice of retail investors and penetrate the Indian investment market more deeply.Originality/valueThis research study contributes to the literature on SRI by identifying the differentiating characteristics of Indian SR and conventional investors and segmenting Indian retail investors on the basis of their SRI awareness, the importance of ESG issues and choices made by them as investors and consumers.

Understanding the Risk and Opportunities as Well as Performance Variance Associated with ESG Funds for the Future of Investors in India

Environment, Social and Governance (ESG) is an evolving field where the investors can grow their long term capital by keeping environmental and social objectives intact such that it is done in a socially responsible way. The ESG market has also got several risks as well as opportunities which may affect the investor in the long run. The investors in the recent scenario has got new avenue for investment by taking care of the social and environmental aspectsand, thereby the ESG funds are increasing day by day and its value is also rising since its inception. Stakeholders are finding such socially responsible funds better than normal funds for investment at times which is urging the companies to go for sustainable reporting standards and to introduce more such ESG funds for the future of investors. Though the ESG funds and the companies associated with such funds have sustainable values, there is an inherent risk associated with ESG and there are future opportunities for the market which is not ignorable. Therefore, the researcher attempted to study and understand the risks and opportunities associated with ESG for the companies and investors in general, and furthermore to access the performance of such ESG funds in our country such that the investors can reap benefits out of it during choosing their portfolio. The researcher arrived at definite findings ascertaining the results of the study and based on that conclusion of the current study have been given by the researcher with several recommendations such that the market can evolve in future.

Is Bitcoin a Safe Haven for Indian Investors? A GARCH Volatility Analysis

This paper attempts to understand the dynamic interrelationships and financial asset capabilities of Bitcoin by analysing several aspects of its volatility vis-a-vis other asset classes. This study aims to analyse the volatility dynamics of the returns of Bitcoin. An asymmetric GARCH model (EGARCH) is used to investigate whether Bitcoin may be useful in risk management and ideal for risk-averse investors in anticipation of negative shocks to the market (leverage effect). This paper also examines Bitcoin as an investment and hedge alternative to gold as well as NSE NIFTY using a multivariate DCC GARCH model. DCC GARCH models are also used to check whether correlation (co-movement) between the markets is time-varying, examine returns and volatility spillovers between markets and the effect of the outbreak of COVID-19 in India on the investigated markets. The results show that given the supply of Bitcoin is fixed, low returns realisation is equivalent to excess supply over demand wherein investors are selling off Bitcoin during bad times. The positive co-movement between Bitcoin and gold during the COVID-19 outbreak shows that investors perceived Bitcoin as a relatively safe investment. However, overall analysis shows that Bitcoin was not considered a safe hedge and an investment option by Indian investors during the study period.

Socially responsible investment behavior: a study of individual investors from India

PurposeSocially responsible investment (SRI) is a niche and upcoming investment strategy in India. Very few researches have been conducted on SRI in the Indian context. This study identifies the SRI awareness level, attitude towards the importance of environmental, social, and governance (ESG) issues, willingness to invest in SRI avenues and obstacles in SRI investment decision-making by Indian retail investors. The second objective was among the awareness, attitude, willingness, obstacle, and demographic constructs to identify the most significant variables that impact an individual investor's SRI decision in India. .Design/methodology/approachData for the study have been collected through a self-structured questionnaire. Descriptive statistics are used to identify the importance of variables for individual investors. This paper used the theory of planned behavior (TPB) to understand the factors impacting individual investors' SRI behavior. Binary logistics regression analysis is used to recognize the variables that affect an individual investor's SRI decision.FindingsThe descriptive statistics indicate a low level of SRI awareness; the majority of the investors agreed that ESG issues are significant in investing and showed a willingness to invest in SRI avenues. However, the investors were not willing to accept lower returns from SRI. The majority of investors found, lower returns on SRIs, no tax benefit, lack of information about SRIs, and low liquidity as important obstacles in SRI investing. Binary logistics regression results indicated that awareness about SR/ESG indices, awareness about SR/ESG funds, and willingness to invest in SRI avenues significantly impact investors' SRI decisions but demographic variables have no significant impact on SRI decision-making.Practical implicationsThis study has implications for the ethical/SR mutual funds managers, policymakers, government, and international asset management companies. The study finds an urgent need for increasing awareness about SRI among individual investors in India. The study suggests that the issuers must provide adequate information about SRI avenues and probable risk and returns involved in these, while the regulators must make efforts to educate investors in India.Originality/valueThe context of the present study is original because hardly any of the earlier studies conducted in India have tried to find out the individual investors' SRI awareness level, investors' willingness towards SRI, investors' attitude towards ESG issues, and obstacles faced by investors in socially responsible investing.

Rural Revitalization and Digital Financial Economic Development Model Based on Multimodal Sensor Fusion

Since the 19th National Congress of the Communist Party of China, the key to rural development has been to solve the problem of rural development. The “three rural issues” is a critical issue for the country’s economy. In addition, the implementation of the Rural Revitalization Strategy under the environment of data financial and economic development can be more convenient and efficient. However, the traditional sensor fusion technology still has the disadvantages of low efficiency and high cost in the application of Rural Revitalization and digital financial economic development model. In order to solve the shortcomings of this technology, this paper proposes a multimodal sensor fusion technology combined with BP neural network (BPNN, a commonly used feedback neural network) and Kalman filter (a linear filtering algorithm), and it constructs a rural economic development model combined with digital finance. This paper uses this technology to study the economic development model. Firstly, the research method is to visit and investigate the residents and basic economic situation of a village and then use the economic development model constructed in this paper to carry out the economic analysis of the BPNN model and Kalman filter model. It includes Mohr scatter diagram, economic income, industrial investment, product export, and household consumption. The results show that the Mohr scatter diagram of the village changes from the third quadrant (−0.7, −0.5) to the first quadrant (−0.7, 0.3); the difference between the economic income calculated by the Kalman filter algorithm and BPNN algorithm and the actual value shall not exceed 10%. The rural industrial investment index increased by 56.08, the product export index increased by 30.11, and the household consumption index increased by 13.10. It shows that the economic development model constructed in this paper has achieved good results.

Investors’ perception towards mutual fund: A study of Shimla city

The mutual fund sector offers various investment structures with varying levels of risk, and it was anticipated to be the most profitable market for Indian investors. Although household investors (retail investors) contribute much of the investments in mutual funds around the world, the retail investors’ contribution to mutual funds is rather limited in India. In India, there are more than 50 crore permanent account numbers for income taxes, but only 2.2 crore people participate in mutual funds. As a result, the Indian mutual fund industry has the potential to rise rapidly. This paper tried to evaluate the perception of mutual fund investors and examine the factors affecting their investment decisions. For this purpose, data has been collected from 110 respondents residing in Shimla city of Himachal Pradesh. The sample size was selected based on the convenience sampling technique method. The collected data has been analyzed using various statistical and mathematical tools. Based on the empirical investigation it is evident that investors considered higher returns as the most important factor while making an investment and they perceived mutual funds as a moderately risky investment option. Overall it is observed from the study that investors want to invest in mutual funds, especially in open-ended equity mutual funds and most of the respondents prefer to take moderate risk in the market. It is also inferred that most investors prefer to invest in SIPs. Evaluating the mutual funds' schemes based on SEBI classification 2017 could be a great topic for future research.

FOREIGN DIRECT INVESTMENT OUTFLOWS FROM INDIA AND CHINA: TRENDS AND PATTERNS

Direct international investments from India have evolved over some time in terms of magnitude, sectoral and geographical composition. There has been a gradual redirection of Indian investments from resource-rich economies to economies providing tax benefits. At the same time, China’s influence on the world economy is increasing with almost 80% of countries and regions receiving investments from China. The paper investigates trends and patterns of outward FDI from two Asian economic giants, India and China from 2008 to 2018. It studies country and sector-specific divisions of FDI outflows from India and China. International investments from India and China have experienced a considerable change not only in terms of volume but sectoral and regional composition too has evolved. The paper concludes that while Indian investments are efficiency and market seeking, Chinese investments are efficiency and resource seeking. The service sector has attracted the highest investments from India. Although the share of the service sector is highest in China’s outward FDI in terms of activities, manufacturing activities has the highest share

Анализ сопряженного тепломассопереноса при аэрозольной флотации золота из россыпей

Introduction. The probability of replenishing the SME of placer gold by registering the reserves of new deposits is low, and the involvement of man-made waste in the economic circulation will allow maintaining the achieved level of gold production from placers for 10-15 years. Purpose of research. The aim of the study is to develop a technology for extracting gold from old wastes of alluvial mining based on the identified patterns of conjugate heat and mass transfer during aerosol flotation of metallic gold. Methodology. For the development of technogenic wastes of alluvial gold mining, an enrichment module based on gravity and flotation methods has been developed. The module equipment has passed research tests in industrial conditions. During flotation, the increase in the gold content in the operation of the main flotation is carried out by mixing the crude concentrate isolated from ½ of the original feed with the other ½ of it. A mixture of air and hot steam was used as the gas phase during flotation. Research results and discussion. The temperature difference at the gas-liquid interface is the driving force of the vapor-liquid phase transition with the release of significant condensation heat. The time of particle sticking to the bubble is commensurate with the time of heating the interfacial surface due to the heat of vapor condensation. This allows us to consider temperature as one of the reasons for changing the result of flotation by a mixture of air and water vapor. Due to vapor condensation, the bubble size and the intensity of interfacial heat transfer decrease. When the minimum size is reached, overheating of the vapor in the bubble leads to an increase in the evaporation of the solvent and pressure in the gas phase: the heat transfer between the phases and the size of the bubble begin to increase. Transient processes in steam are non-polytropic and the limiting bubble sizes decrease with time: at the minimum size and maximum temperature, the heat transfer of steam is higher than the heat transfer of water with an increase in the size of the bubble and a drop in temperature in it. The limiting transitions of the bubble size are the cause of high-speed oscillations of the bubble walls, which decay with time. When the bubble surface is stretched in the three-phase contact zone, the gas-liquid surface tension increases due to a decrease in the density of the adsorption layer of surfactant molecules, which causes an increase in the force holding the hydrophobic extractable particle on the bubble surface. Radial tensile-compression deformations lead to shedding from the bubble surface of hydrophilic gangue minerals randomly retained by the bubble surface (for example, in the case of high occupation of the bubble surface by extracted particles). Conclusion. It is substantiated that the combined gravity-flotation technology is economically justified: the added value of marketable products provides an increase in the value of the net present value and the return on investment index, and a reduction in their payback period. It has been proven that the addition of gravity technology with flotation methods for extracting gold provides an increase in annual metal production by ~27% rel. due to the additional extraction of forms of gold that are “resistant” to gravitational methods.

The volatility spillover between NFT investment index and global technology index: DCC-GARCH application

Purpose- NFT is a digital token that represents a unique, one-of-a-kind asset on the blockchain. In this respect, NFTs can be used to represent ownership of any unique asset. In this study, the volatility spillover relationship between the NFT Investment Index and the Global Technology Index (XTEC) is investigated. Methodology- More than one GARCH type model has been developed that reveals the relationship between assets in financial markets. The DCC GARCH model was preferred because it is a current model that reveals the variable correlation coefficient depending on time. The DCC-GARCH method was preferred for modeling the volatility spillover in the study. Daily data covering the period 19.04.2021-22.04.2022 are used. Findings- - According to the findings of the study; A mutual volatility spillover has been detected between the NFT Investment Index and XTEC. Accordingly, the 1% shock in XTEC increases the NFT Investment Index volatility by 0.24%, while the 1% shock in the NFT Investment Index increases the XTEC volatility by approximately 1.86%. The findings show that NFT Investment Index volatility is more effective on XTEC volatility. Conclusion- Those who invest in NFT or technology markets and those who are considering investing should also take into account the developments in the other market in question in terms of risk management. In addition, market regulators should take a proactive approach by considering the impact and importance of NFT markets. Keywords: Blockchain, crypto

Траектории финансового развития регионов российской Арктики

Priority development of the Arctic territories is particularly relevant in conditions of unstable en-vironmental balance, significant climate change, and territorial vulnerability. The Arctic regions have com-mon natural and climatic conditions, geographical location, the availability of natural resources on their territory, the level of technical and technological development of the branches of the national economy, however, they are characterized by heterogeneous conditions of socio-economic development, therefore, the imbalances in the functioning of these regions are manifested more clearly. Elimination or levelling of the emerging interregional imbalances is an objective necessity for the sustainable development of regions, ensuring their financial stability. The authors, on the basis of private financial indices (budget, economic, investment), carried out a pinpoint adjustment of the development of the Arctic territories and determined the trajectories for the implementation and expansion of potential financial opportunities, taking into account the identified threats and drivers that affect the economy of the region. This approach made it possible, firstly, to assess the financial capabilities of the regions in terms of different aspects (budgetary, economic, etc.,); secondly, to identify the dynamics of their financial development; and, thirdly, to rank the regions according to the level of financial solvency. As a result, three clusters were identified: regions with a high value of the economic index; regions with a high value of the investment index and regions with a high value of the budget index. For each group, a vector of financial development has been determined, which makes it possible to effectively use all the possibilities of the Arctic regions to ensure their both social and financial and investment development.

Suitability of Turkey Oak, European Beech, and Hornbeam to Gypsy Moth Feeding

Pest resistance of trees should be taken into account in future forest strategy planning and predicting risks of defoliation. The gypsy moth (GM) (Lymantria dispar L.) is a serious forest pest with outbreaking population dynamics. To estimate defoliation risk of the most widely distributed tree species in Balkan Peninsula and Europe (Turkey oak Quercus cerris L., European beech Fagus sylvatica L. and hornbeam Carpinus betulus L.), we carried out laboratory feeding trials and investigated their acceptability and suitability for GM development. We determined morphological and chemical attributes of these hosts as well as larval host preference, growth and nutritional indices. Preference, growth, and efficiency of food conversion into biomass were ranked in the order: Turkey oak ˃ European beech ˃ hornbeam. Hornbeam was the most avoided and showed the lowest conversion efficiency although, comparing to optimal oak host, its leaves were less tough, contained more water and exhibited similar values of nitrogen (index of protein content) and C/N ratio (index of investment into carbon based plant defense). We suggest that hornbeam and beech leaf chemical profiles should be further studied to reveal specific compounds that impose high metabolic cost to GM larvae. Moreover, additional research are needed to understand how intermediate hosts in natural populations affect GM outbreaks.

Rethinking Emerging Markets: A Fresh Perspective

The standard classification of emerging markets (EMs) does not correspond well to stage of development, wealth, culture, or industrial mix. The authors propose using unsupervised learning to group country stock markets across countries based on similarity of returns. The authors find that EMs contain two distinct groups reflecting Asian manufacturing and commodity exposure. This heterogeneity provides diversification to index investors and allocation opportunities to active investors. China is on the edge between the two groups, consistent with it being a key manufacturer and a major driver of commodities. The authors argue for retaining the existing EM classification and treating China as a separate entity.

Short-term IPO Performance Amidst Fearof COVID-19 Pandemic: Evidence from India

The study of investor behaviour in and around tail events is important as these impact market returns. Since the onset of the COVID-19 pandemic, financial markets worldwide have seen enormous falls amid widespread uncertainty initially and then bounced back strongly with greater momentum. This article investigates the short-term performance of public issues which had their debut on the Indian Stock exchanges during the time of the COVID-19 pandemic. It also analyses the impact of fear of the pandemic on underpricing, if any and the factors impacting their performance. It compares the pre-COVID and post-COVID initial public offerings (IPOs) in Indian Capital Market with a sample of 158 listings across nine years from 2013 to 2021 on the main board segment of the National Stock Exchange (NSE) and Bombay Stock Exchange (BSE). With the help of the t-test and multivariate regression applied on subscription data, listing data, listing gains, issue size, return on net worth, age and other factors, a more active retail investor group emerges with a statistically significant increase in underpricing during the COVID-19 era. The study provides strong evidence that the pandemic contributed towards increase in number of firms getting listed and higher levels of underpricing. It also suggests that the impact was particularly on the investors’ sentiment with increase in retail subscription four folds. Desire to synthesize short term benefits and over optimism among the retail investors, has led to such increase. We summarize that in the post pandemic era, higher than usual listing gains and larger than usual issue sizes are affected by a radical shift in Indian retail investor behaviour. Tail events like COVID-19 have changed the way Indian investors behave and invest in IPO’s causing them to base their decisions on speculative metrics rather than the actual fundamentals of the issue. This article is a first-of-its-kind study to examine the impact of the pandemic on the equity market practices in India, namely, the anomaly of underpricing of IPOs or new listings on the main board segment.

Awareness, acceptance and penetration of Cryptocurrencies in the Indian market with special reference to Bitcoin

Bitcoin and other digital assets have seen an exponential increase in interest ever since the RBI ban was lifted during March 2020. A recent report published by Mint states that at 10.07 crores- India has the highest number of crypto owners in the world and it stood at the 5th spot at 7.3% in terms of crypto owners as percentage of total population. The industry trends indicate that a significant number of young users are trying to get into the cryptocurrency market as their most preferred investment class. The Indian cryptocurrency exchanges exhibited high trade volumes. Furthermore it was observed that the Bitcoin and other crypto currencies distinctly out performed vis-à-vis other asset class. Even though the interest in the cryptocurrencies has caught the attention of several investors in India, many are not aware of its opportunities, drawbacks and challenges for the future. Whilst the cryptocurrency market is at the infancy stage and there is devoid of adequate research on the cryptocurrencies to provide substantial guide and informed view to the academic field and users, this paper discusses the investment opportunities in the cryptocurrencies.

Macroeconomic Performance Analysis of Selected Indian Mutual Funds

Investors in India have various investment options from mutual funds to make a profit. Among other financial instruments, investing in mutual funds ensures that investors are exposed to the least risk and receive the highest possible return. As more focus is placed on increasing domestic savings and improving investment diversification, mutual fund operations' demand for and scope has grown. As a result, it became critical to research the mutual fund industry and its performance. The purpose of this study is to assess the performance of a few selected Indian mutual fund schemes based on their daily net asset value (NAV) over ten years from 2012 to 2021. The study will use a sample of ten open-ended, growth-oriented equity funds. Regression and correlation analysis were used to find the funds' performance of macro economic factors, and the results will help investors make smarter investment decisions. This study concludes that inflation, interest rates, GDP, and Net Asset Value of Equity mutual funds all have a 0.8 percent impact on fund's performance based on the determination coefficient.

Green Accounting, Financial Performance toward Firm Value

This study aims to determine the significance of the effect of green accounting, financial performance on firm value (price book value proxy) on the Indonesian Biodiversity Sustainable and Responsible Investment (SRI) Index Company (KEHATI) for the 2015-2020 period. The number of samples in this study was 79 samples with the purpose of sampling method. Data collection is carried out through financial reports published on the official IDX website, at www.idx.co.id and sustainability reporting. The data analysis model used is multiple linear regression with the least squares equation. The results of this study indicate that Green Accounting has no effect on Firm Value, ROA has a significant negative effect on Firm Value. The determination test of these variables on PBV in this study was 15.6% while the remaining 84.4% was influenced by other variables that are not to be examined in this company.

Pengaruh Investasi, Inflasi dan Indeks Pembangunan Manusia terhadap Pertumbuhan Ekonomi di Provinsi Aceh

This study aims to determine the effect of investment, inflation and human development index on economic growth in Aceh Province. The research method used is a quantitative method using secondary data from 2006-2020. Data analysis used multiple linear regression equation, t test, F test and coefficient of determination test (R2). The results of the multiple linear regression equation test show that investment has a negative effect on economic growth, inflation and the human development index have a positive effect on economic growth. The results of the t-test of the investment variable t sig > 5% (0.0213 > 0.05) can be stated that investment has a not significant effect on economic growth, the inflation variable t sig > 5% (0.484 > 0.05) can be stated that inflation has a not significant effect on economic growth . The human development index variable t sig < 5% (0.001 <0.05) can be stated that the human development index has a significant effect on economic growth. The results of the F F test sig < 5% (0.023 <0.05) can be stated simultaneously that investment, inflation and human development index have a significant effect on economic growth in Aceh Province. The test results of the coefficient of determination (R2) obtained 0.895 or 89.5% investment, inflation and human development index can explain the variable economic growth.

Nonparametric mean-lower partial moment model and enhanced index investment

In this study, we propose a new smooth nonparametric kernel (NPK) method to estimate downside risk as measured by the lower partial moment (LPM) and build a NPK mean-LPM model. We also use the NPK LPM to construct a novel enhanced index model for controlling downside risk. We theoretically prove that the NPK LPM estimator is a convex function when the order of the LPM is equal to or greater than 1. The numerical results show that our NPK method outperforms the moment method in terms of estimation accuracy. Our simulated experiments and empirical tests show that the NPK LPM-based enhanced index model outperforms the benchmark models and indexes when using a wide variety of performance indicators and different rebalancing strategies.

Impact of Domestic Institutional Investors on Foreign Institutional Investors in India: An Analysis

Foreign institutional investors (FIIs) play a vital role in the stock market of a country and Indian stock markets are no exception to this. FIIs bring liquidity, buoyancy and growth in stock markets but at the same time they also enhance the level of volatility and instability. Over past few years the stock markets in India have shown an impressive growth. The stock market indices are making new strides and increasing number of shares are making new highs. Following India’s impressive growth story, increasing corporate profitability and competitiveness, and better integration with the world economy, the investment by foreign institutional investors (FIIs) in the stock markets of India has gone up tremendously. Investment decisions of foreign institutional investors in India are affected by so many factors. Investment behavior of domestic institutional investors (DIIs) is one such important factor. This research paper is an attempt to analyze the impact of domestic institutional investors on the investment decision of foreign institutional investors in India. In other words, this study explores whether Domestic Institutional Investors affect the investment decisions of Foreign Institutional Investors in India or not. For this purpose, researchers have used regression analysis. Mutual fund investments have been taken as proxy for investment by DIIs. Investment patterns of FIIs and DIIs have been divided into eight variables i.e. FII Equity Purchases, FII Equity Sales, FII Debt Purchases, FII Debt Sales, MF Equity Purchases, MF Equity Sales, MF Debt Purchases and MF Debt Sales respectively. The study reveals that investment decisions of DIIs affect the investment decisions of FIIs.