We formulate a simultaneous equations model and with the data of a panel of 600 Indian firms for the period 1991-92 to 1997-98 test the hypothesis of finance constraint. The firms are classified by the dividend pay-out ratio into high-cost and low-cost groups; a high dividend pay-out ratio...

This study analyses the role of fundamentals and financial factors in determining firm investment in India with imperfect capital market in a panel VAR framework. Previous research in this area is based on the test of significance (or some variant of this) of the cash flow variable in the...

This chapter demonstrates the role of financial sector in achieving the demographic dividends for the Indian economy. We developed an aggregative macro-econometric model supplemented by sectoral analysis of saving, investment and industrial productivity to explore possible connections. The model...

The paper provides an analysis of the simultaneous existence of the formal and the informal sources of finance and their implications for the rate of growth in an economy. Our main result is that in the presence of two sources of borrowing, viz. formal banking sector with lower interest rate...

We develop a jackknife estimator for the conditional variance of a minimum-tracking- error-variance portfolio constructed using estimated covariances. We empirically evaluate the performance of our estimator using an optimal portfolio of 200 stocks that has the lowest tracking error with respect...

In this paper, we study the asymptotic distribution of a recursively defined stochastic process where are d-dimensional random vectors, b, d -- d and [sigma]: d -- d x r are locally Lipshitz continuous functions, {[var epsilon]n} are r-dimensional martingale differences, and {an} is a sequence...

We develop a jackknife estimator for the conditional variance of a minimum-tracking- error-variance portfolio constructed using estimated covariances. We empirically evaluate the performance of our estimator using an optimal portfolio of 200 stocks that has the lowest tracking error with respect...