Market anomalies and irrational behavior caused investors changes in the stock market, and this has led to an investigation into the impact of various behavioral biases and factors affecting decision-making for individual investors. The purpose of this study was to find out the effect of the four factors, heuristic, prospect, market, herding on decisions of investors at NSE. Data are collected from the questionnaire on the basis of a likert scale. To determine the reliability of the questionnaire, the Cronbach alpha factor, which was 0.728, was used. EFA and multiple regression tests have been applied. Cronbach-alpha was used to check the interal consistency of the element. Cronbach alpha emphasized to each factor: Heuristic, Prospect, Market, Herding, Investment performance and Investors decisions that consistency at an acceptable level. The result of the analysis is that the four variables have greatly influenced the investment decision and return on investment. All behavioral variables have a significant impact on the decision-making process of investors, which led to the acceptance of all assumptions regarding the level of influence of behavioral factors in decision making for individual investors.

The role of macroeconomic variables cannot be ignored because it plays a very important role in shaping the economy of any country, irrespective of whether it is developing, underdeveloped or developed. The macroeconomic variables were disposable income (DI), government policies (GP), inflation rate (INF), interest rate (IR), exchange rate (ER) and stock price. Monthly data of 10 years were used, that is, from April 2006 to March 2016. Analyses of augmented Dickey–Fuller test, preliminary tests, stability tests, cointegration, vector error correction model (VECM) variance decomposition analysis (VDA) and impulse response have been applied to examine the association between the selected macroeconomic variable and stock returns. All the variables are stationary at 1st difference. The results showed that the residues are normally distributed and that there is no problem of multicollinearity, heteroskedasticity and serial correlation. The results of the cointegration showed a strong long-term relationship among DI, GP, the inflation rate, the exchange rate and the IR on the stock price in Bombay Stock Exchange of India. Results of vector error correction model revealed that in the short run, there was a negative and significant relationship between inflation rate and stock returns; therefore, it can be implied that an increase in the inflation rate eroded the prospect of positive performance among the Sensex but was not significant. JEL Classification: E, E01

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