In this paper we show, using a Machine Learning Framework and utilising a substantial corpus of media articles on Brexit, confirmed evidence of co-integration and causality between the ensuing media sentiments and British currency. The novel contribution of this paper is that along with...

In this study, we use a machine learning framework and draw on an extensive body of media articles on Brexit to provide evidence of co-integration and causality between the sentiments of the media and the movement of British currency. Our contribution to the literature is novel: in addition to...

In this paper we show, using a Machine Learning Framework and utilising a substantial corpus of media articles on Brexit, confirmed evidence of co-integration and causality between the ensuing media sentiments and British currency. The novel contribution of this paper is that along with...

The paper models foreign capital inflow in a multi-period framework from the developed to the developing countries. The market for foreign loan together with the foreign exchange market simultaneously determines interest rate in the international loan market and the exchange rate. We also derive...

The paper explains origin of financial crisis in one country and its spread to other countries - contagion, in a multi country dynamic model of international capital inflow. The origin of crisis is rooted in this model in the common international loan market; thus crisis can occur even when the...

Estimation of the activities of the informal sector in an economy poses a serious problem for obtaining a correct estimate of GDP. This happens to be so because of the fact that informal sector activities are not registered. The literature has tried to solve the problem of estimation of the...

The present study derives an estimate of the contraction of the GDP in India during the lockdown period on the basis of the fall in the components of expenditure of the national income accounts. On the lower side the contraction is estimated to be around Rs. 7211.42 Billion per month at the...