In this study, we predict the daily volatility of the S&P CNX NIFTY market index of India using the basic "heterogeneous autoregressive" (HAR) and its variant. In doing so, we estimated several HAR and Log form of HAR models using different regressor. The different regressors were obtained by...

This paper presents a critical analysis of official data related to COVID-19 in Bihar state, India, which points to the manipulation of data for political ends. The ruling party's claim that the state managed the COVID pandemic brilliantly seems more politically motivated than scientific. We...

In this study, we predict the daily volatility of the S&P CNX NIFTY market index of India using the basic "heterogeneous autoregressive" (HAR) and its variant. In doing so, we estimated several HAR and Log form of HAR models using different regressor. The different regressors were obtained by...

This paper presents a critical analysis of official data related to COVID-19 in Bihar state, India, which points to the manipulation of data for political ends. The ruling party's claim that the state managed the COVID pandemic brilliantly seems more politically motivated than scientific. We...

In this study, a vector autoregression (VAR) model with time-varying parameters (TVP) to predict the daily Indian rupee (INR)/US dollar (USD) exchange rates for the Indian economy is developed. The method is based on characterization of the TVP as an optimal control problem. The methodology is a...

This paper presents the findings of an impact evaluation to assess the performance and sustainability of the demand responsive community-based approach toward rural water supply in the state of Kerala, India. To achieve the study's objectives, conceptual definitions of the "performance" and...

In this study, a vector autoregression (VAR) model with time-varying parameters (TVP) to predict the daily Indian rupee (INR)/US dollar (USD) exchange rates for the Indian economy is developed. The method is based on characterization of the TVP as an optimal control problem. The methodology is a...

The present study, investigates the predictability of Samp;P CNX NIFTY Index returns using Support vector machines (SVM). The performance of the SVM model in forecasting Nifty index returns is rigorously evaluated in terms of widely used statistical metrics like mean absolute error, root mean...

There exists vast research articles which predict the stock market as well pricing of stock index financial instruments but most of the proposed models focus on the accurate forecasting of the levels (i.e. value) of the underlying stock index. There is a lack of studies examining the...

This paper presents the findings of an impact evaluation to assess the performance and sustainability of the demand responsive community-based approach toward rural water supply in the state of Kerala, India. To achieve the study's objectives, conceptual definitions of the "performance" and...