Invertis Journals of Management

Ashok K. Gupta ¹, Onkar Nath Mishra ², P. S. Tripathi ²

Affiliations
1 Institute of Management Studies, Banaras Hindu University, IN
2 Banaras Hindu University, Varanasi-221005, IN

Abstract

India is facing corporate financial distress that has taken a grim situation due to slower growth rate of the economy. Therefore, repairing corporate balance sheet and revitalizing corporations facing financial distress of the need of the hour.

Keywords

Corporate Debt Restructuring Banks, Financial Distress, Company.

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Onkar Nath Mishra ¹

Affiliations
1 Department of Management Studies, Birla Institute of Technology, P.O.Box: 41222, Academy Zone 03, Al Dhait South, Ras Al Khaimah, AE

Abstract

A reliable forecast of exchange rates is an essential informational input for decision making like management of foreign exchange exposure other financial decisions. There are a host of factors that determine the exchange rate of any currency and also there are a number of techniques to forecast exchange rate. The literature so far available suggests that no method has distinct superiority over others and exchange rate can be forecasted with more accuracy over longer time horizons in comparison to short term exchange rates. This study examined the forecast performance of traditional methods in forecasting daily spot rate. The study compared the non linear regression and exponential smoothing methods for the Indian Rupee (INR) US dollar exchange rate after testing the randomness of exchange rate. Data of daily exchange rate for one month was used to predict the exchange rate. The findings revealed that exponential smoothing performs exceptionally well in predicting daily spot exchange rates.

Keywords

EMH Hypothesis, Exponential Smoothing, Forecast Accuracy, Non Linear Regression, Technical Analysis.

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