Dr.DEBESH BHOWMIK

Dr.DEBESH BHOWMIK

Saturday 16 December 2017



DAILY EXCHANGE RATE BEHAVIOUR OF SPECIAL DRAWING RIGHTS PER YUAN

-Dr.Debesh Bhowmik 

Key words- SDR Yuan exchange rate, Autoregressive model,ARIMA model,GARCH model,volatility of exchange rate

JEL-C22,C52,F3,F31

Summery
After the inclusion of Yuan in SDR, the paper scrutinizes the daily exchange rate behavior of SDR per Yuan from 1/12/2015 to 16/2/2016 because monetarists predicted that RMB will be more volatile. The paper conducted to find out semilog trend values of exchange rate including residuals test for serial correlation, heteroscedasticity, autocorrelation and coefficient test for confidence ellipse. The paper verified the autoregressive models at lag one and three for which visibility of autocorrelations were also tested. Even, Box and Pierce(1970) ARMA model is estimated for stationary and stability of the series. Finally, to test volatility the ARCH test has been done including GARCH, and its conditional variance following Bollerslev(1986).The structural break was tested by Bai-Perron model(2003).
The paper showed that the estimated semilog linear  model of the daily exchange rate of SDR per Yuan during 1/12/2015 to 16/2/2016 showed that the exchange rate has been decreasing at the rate of 0.0697% per day which is statistically significant.
The paper showed that the exchange rate is declining, showing stationary and stability but marginal volatility is observed in the ARCH and GARCH models that can be minimized if China slowly and steadily introduce the capital account convertibility and financial sector reform including Yuan internationalization and if China can integrate policy of shore price and onshore pricing.

The sequential F statistic of break test are significant at 5% level which are shown in Table where repartitions were observed at 8,18,26 observations respectively.
After the declaration of the inclusion of RMB in SDR basket in November,2015, the SDR per Yuan is marginally depreciated with US Dollar which follows naturally with spot market rate with SDR and the more volatility was observed since then as predicted by the monetarists. But, the above models showed that those errors can be minimized through good management technique of stabilising exchange rate policy which can be helpful through new liberalized interest rate policy of PBC which can increase offshore and onshore liquidity and minimize their price differences, can follow convergence of forex market, can do more swapping, speed up 20-20 development strategy, introduce macro prudential management, to increase more RMB payments centers, increase linkages between offshore and onshore markets, and increase scope of FTA and so on. To face the absolute gap between RMB fixing and the previous trading day close , the investors can use HKEx’S USD/CNH futures based upon their trading preferences and investment objectives, either as a cost efficient risk management tool to hedge against RMB price risk, to capitalize on short term trading opportunities, or to exploit price discrepancy across the offshore and onshore markets.



The paper concludes that the SDR per Yuan daily exchange rate is not much volatile as has been found from several models studied here and the fear about volatility due RMB inclusion in SDR might be media effect and is not justified because China had already liberalized interest rate and depreciated RMB recently by about 6% that could not boost the volatility of the exchange rate abnormally rather the process of capital account convertibility and measures on Yuan internalization have been continuing speedily. Yet, China has to face competition in the freely floating exchange rate and interest rate with US Dollar and Euro in commodity, money, capital and stock markets respectively where it will have to increase its market capitalization and turn over. 

PUBLISHED IN FAME,VOLUME-2,MARCH 2017,THE JOURNAL OF FINANCE,ACCOUNTING,MANAGEMENT AND ECONOMICS,
SHRI SHIKSHAYATAN COLLEGE ,DEPARTMENT OF COMMERCE
KOLKATA 

Wednesday 15 November 2017

REAL EFFECTIVE EXCHANGE RATE OF INDIA:PATTERNS AND DETERMINANTS




INTERNATIONAL JOURNAL FOR RECENT TRENDS IN BUSINESS AND TOURISMVOLUME-1,ISSUE-4,2017,OCTOBER--LINCOLN UNIVERSITY COLLEGE , MALAYSIA

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REAL EFFECTIVE EXCHANGE RATE OF INDIA: PATTERNS AND DETERMINANTS
Debesh Bhowmik
Former Principal, International Institute for Development Studies, Kolkata, India
Corresponding Author Email: debeshbhowmik@rediffmail.com

ABSTRACT

In this paper, author endeavors to establish the patterns and trends of Real Effective Exchange Rate of India during 1970-2015 and tries to show the determinants of REER e.g., growth rate, current account deficit as percent of GDP, percent of openness, foreign direct investment inflows, and foreign exchange reserves excluding gold. The author used semi-log, double log linear and exponential model, autoregression, ARIMA, GARCH models for trends and volatility. Bai and Perron (2003) model was applied to show structural breaks and Hodrick and Prescott (1997 ) model was applied for smoothness of cyclical trend. Johansen (1988, 1991, 1996) models were used to fit co-integration test and vector error corrections. Residual tests were done to verify autocorrelations, normality and impulse response functions were found to show stability and convergence.       
The paper concludes that REER has been declining at the rate 0.4085 percent per year which is insignificant at 5% level during 1970-2015 but it is exponentially declining at the rate of 0.2028 percent which is significant. AR(1) of REER is convergent, stationary and significant but AR(2) is convergent, non-stationary and insignificant. Even ARIMA(1,1,1) is non-stationary because AR(1) is stationary but MA(1) is non-stationary. GARCH(1,1) showed insignificant. Thus the series REER is highly volatile. This series contains five significant structural breaks in 1976, 1986, 1992, (downward) 2004 and 2010 (upward). Its pattern is cyclical which was turned to smooth cycle. Trace statistic showed three cointegrating vectors and Max-Eigen Statistic showed two cointegrating vectors that verify cointegration in the order one. Vector Error Correction model is stable because all roots lie in the unit root circle but it is non-stationary because impulse response functions are diverging and error corrections are significant  only in degree of openness and FDI inflows in relating REER during 1970-2015 with one period lag. Residuals test of VECM confirmed non normality and autocorrelations.
Only sound fiscal and monetary policy can control upward movement of REER so that significant relationships can be achieved with those selected determinants that would spur the growth of international trade.

Keywords- Real Effective Exchange Rate, Stationary, Structural Breaks, Causality, Co-integration, Vector Error Correction

INTRODUCTION

Real Effective Exchange Rate is an important tool in managing international trade and finance and macroeconomic stability in an open economy. It influenced export and import prices and trade volumes. Appreciation and depreciation of REER determined terms of trade, openness, foreign exchange reserves of an economy to a great extent. FDI inflows and current account balance are largely depend on the REER because in the liberalized and globalised world the adjustment in balance of payments is largely correlated with the movement of REER. The REER is closely related with the nominal and real rate by definition when it is trade weighted or export weighted with group of countries. Exchange rate policy whether it is nominal or real controls national inflation and influenced international inflation in which interest rate differential is the crucial and key variable. Today, under globalization REER is closely related with the growth rate also since volatility of REER is the barrier of high growth in which volume of trade matters. According to Balassa-Samuelson effect, volatility of REER influences export competitiveness and productivity. In calculating REER based with export or trade weighted 36 countries, RBI did not consider productivity. Even, India has not long run data on REER and NEER. However, India could not predict well the nature of capital account convertibility, the productivity changes and terms of trade changes in relating to REER. Therefore, the task before RBI is crucial because policy of exchange rate is also related with monetary and fiscal policies as well.
(A) Objective of the study
This paper endeavors to study the behavioral patterns of REER and its determinants in India during 1970-2015 where the author assumed that the basic determinants of REER are growth rate, current account deficit as percent of GDP, openness of the economy, foreign direct investment inflows, foreign exchange reserves excluding gold and so on. The relations were calculated through cointegration and vector error correction models. The policies of REER and limitations of the paper are also the aims of this study.
(B) Methodology and Data
Semi-log, and double-log regression models have been used for trends and relations and exponential model was used also for goodness of fit. AR(1), AR(2), ARIMA(1,1,1) and GARCH(1,1) models were applied to show autoregression, stationary and volatility analysis. Bai-Perron (2003) model was applied to find structural breaks. Granger  model(1969) was used to get causality. Hodrick-Prescott Filter model (1997) was used to find smoothness of cycles which allows to manage the exchange rate volatility. Johansen models (1988, 1991, 1996) were applied for cointegration and vector error correction analysis. Moreover, residual tests of VECM were also done for autocorrelation and normality. The data of REER, growth rate, current account deficit, openness, FDI inflows and foreign exchange reserves during 1970-2015 have been collected from RBI, World Bank and International Financial Statistics(IMF).

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Friday 11 August 2017

CAPITAL INFLOWS AND SILVER STANDARD IN INDIA

ACHARYA BANGALORE B SCHOOL MANAGEMENT BUSINESS AND ENTREPRENEURSHIP REVIEW

VOLUME NO-8,ISSUE-1,OCTOBER 2016 - MARCH 2017

TITLE OF THE PUBLISHED PAPER-CAPITAL INFLOWS AND SILVER STANDARD IN INDIA

AUTHOR-DR.DEBESH BHOWMIK

ABSTRACT



Capital inflows and Silver Standard in India
Dr.Debesh Bhowmik




In this paper author tries to relate gold and silver inflows with GDP,GDP per capita,export, import and gold silver price ratio in India during silver standard regime from 1851 to 1893. Author used semi-log,double-log regression models, Johansen cointegration and VAR models (1991,1996) and Bai-Perron model(2003) for structural change taking data from Maddison(2006) and Ambedkar(1923). The paper concludes that gold inflows during 1851-1893 had decreased at the rate of 0.34% per year insignificantly but it was nonstationary, convergent and had no structural breaks. Silver inflows during 1851-1893 had increased at the rate of 1. among silver inflows and gold inflows with those variables were also insignificant although GDP, export, import,and gold silver price ratio had been increasing at the rates of 0.52%,9.14% ,5.16% and 0.77% per year significantly. But double-log linear regression model suggested that gold inflows had significant impact from GDP,GDP per capita, export, and gold-silver price ratio but had no significant impact of silver inflows from those variables during 1851-1893 respectively. Yet,there is bidirectional causality among gold inflows, GDP, GDP per capita, export, import and gold silver price ratio significantly during the given period. Even, there were sharp depreciation of rupee sterling rate,falling silver price ,silver production and rising gold price and gold production during the silver standard regime. Thus, gold and silver inflows could not synthesize the silver standard more effective in macro-dynamic adjustment during 1851-1893 although the series of managerial experiments of the commissions and government are equally responsible for instability of the silver standard in India which was equally identical with gold standard in England.

Key words-Net gold inflows, net silver inflows, silver standard, GDP, export, import, cointegration, VAR


JEL-E42,F33,N10,N20

Wednesday 26 July 2017




INTERNATIONAL SEMINAR ON INDIAN ECONOMIC DEVELOPMENT IN RECENT YEARS:A MACROECONOMIC PERSPECTIVE ON 25JULY,2017
ORGANISED BY
DEPARTMENT OF ECONOMICS,BARRACKPORE RATRAGURU SURENDRANATH COLLEGE
IN COLABORATION WITH
DEPARTMENT OF ECONOMICS ,WESTBENGAL STATE UNIVERSITY
CENTRE FOR TRAINING AND RESEaRCH IN PUBLIC FINANCE AND POLICY ,
CENTRE FOR STUDIES IN SOCIAL SCIENCE,CALCUTTA

After inauguration welcome address was given by Principal Dr.Manojit Roy showed appreciation on the theme chosen by the college.Dr.Tusher Kanti Nandy,(CTRPFP) tried give a brief idea of the centre where research,training on public finance under ministry of finance have been conducted.Prof Kausik Gupta of Calcutta University gives inaugural lecture on “Macroeconomic perspectives of Indian Economic development In recent years:An overview” where he emphasized on inclusive growth,changes in growth in several phases,eg,fall due to corruption, and rise due to social sector development,He noted Sen and Dreze and Bhagavati and Panagaiya in respect of growth and development.He gave reasons for  jobless growth in the phases 2008-2013.He tried to show real balance effect due to demonetization,and the reduction of growth.Govt.failed to control black money and less availability internet for digital economy.He also raised some questions about GST in context specification and rates and asked whether it is related with demonetization.Prof.Basab Chowdhury ,Vice Chancellor of WBSU, welcome all and said some tides to read economics however he is not glad why students are unwilling to read economics whereas it is related to real life and can solve common problems for all.Prof.Sushil Halder,of Jadavpur University addressed on “Gender and Economic Development in India:Some emerging issues” where he noted that is growth gender nutral,and discussed about gender gap ratio,HDI,GDI,GEM,and reviewing literature he showed that over all sex ratio trend is declining and then rising  and it is heterogeneous for states in India.He showed it by comparative studies.He used LSDV model with dummy variable to verify this notion.He also showed female work participation rate,poverty and child ratio and found significant results.
In the special lecture session,Dr.Debabrata Mukhopadhyaya of WBSU,gave lecture on effects of demonetization on Indian capital market showing structural breaks and nonstationarity in share indices in India.Even he showed changing pattern of autocorrelation structure and verified bank indices nonstationary after demonetization.Prof.Tusher Kanti Nandy of CTRPFP,lucidly explain the concepts,classification and system of GST in India.He explained the rates,calculation of rates,exemption limit,distribution of turnover,finance commission views,on GST rates and implications.Dr.Jayanta Dwibedi of BKC college in his paper “Fiscal Performances in Indian States” explains the role of centre and state on the fiscal deficit where he emphasis on revenue deficit.He explained the distribution of tax revenue among the states where role of finance commission is vital.He worked out a model using transfer functions where he intended to show that poor states should get higher tax revenue than the richer .Prof.Anindya Biswas of  Spring Hill University,USA said his lucid lecture on “Real sector and financial sector of the economy:An Overview”where he explains marginal value of wealth,inflation gap,output gap,potential gap,and tried to verify it in US economy and he endeavours to find Taylors Macro rule in near future.
There were two parallel technical sessions each contain 8 papers.
In technical session-1
1]Anadi Sarker-THKJain College-“A Study on development of rural areas through khadi sector in India”
2]Ashoke Biswas-APC College-“India’s manufacturing sector :Challenging in Make in India Campaign”
3]Rajyasri Roy-Phd scholar of Calcutta University-“Are Informal workers more poverty striken than the formal workers in India”
4] Dipak Biswas-Swami Niswambalananda Girl’s College-“Role of NABARD on SHG Bank linkage programme for Indian Economic Development: study”
5]Dr.Debesh Bhowmik-Retired Principal-“Econometric analysis of India’s International GDP share during 1960-2015”
6]Anurag Banerjee-MPhil Scholar-University of Calcutta,-“Determinants of the level capitalization of Indian commercial banks”
7]Mainak Bhattacharjee-Heritage College-“Globalisation and economic development:A study on India vis-à-vis world”
8]Avik Chattopadhyaya-Jaipuria College-“Agricultural Insurance :A way towards economic growth as well as prevailing difficulties in West Bengal”
Session-2
1]Sangita Roy-Research Scholar-Viswa-Bharati-“Trade liberalization,skilled-unskilled labour and wage distribution”
2]Sushrita Mukherjee-Taki Govt.College-“Demonetisation in India:An attempt towards achieving a modern,digital and cashless economy”
3]Pallabi Jalasaria-JRF Research Scholar-Calcutta University-“Efficiency analysis of Indian commercial Banks in Post reform period”
4]Moumita Das-BRS College and Soumyadip Chattopadhyaya-Viswa Bharati-“An analysis of fiscal decentralization to Urban local governments in West Bengal”
5]Gobindalal Mandal(NewAlipore College)and Atanu Ghosh(NewAlipore College)-“Generation of tax revenue in India-A tool for economic development”
6]Archita Pramanik and Mauli Sanyal(New Alipore College)-“Education in Jeopardy:The effect of FRBM Since inception”
7]Dipankar Das and Dr.Debabrata Mukhopadhyay(WBSU)-“FDI inflows and Military expenditure:A study  across the emerging market economies”
8] Dr.Debabrata Mukhopadhayay and Arun Kumar Mandal(WBSU)-“Infrastructure development and changing market penetration of consumer durables in rural India”


An Econometric analysis of world GDP share of India during 1960-2015
Dr.Debesh Bhowmik(Retired Principal)
Abstract
In this paper, author attempted to analyse India’s international GDP share during 1960-2015 with econometric models taking the data from World Bank. Semilog linear trend model, exponential trend model were used to find trend of Growth. Variance ratio test was used to show random walk. AR(1) model was used to show stationary, convergence and oscillations. ARIMA (1,1,1) forecast model was tested for  stationary of the series. Bai-Perron(2003) model explained to show structural breaks and Hodrick-Prescott Filter(1997 ) model minimized the cycles  for smoothness of trend of GDP share.
The paper concludes that India’s international GDP share has been declining at the rate of 0.459% per year during 1960-2015 and has been decreasing exponentially at the rate of 0.259% per year significantly. The variance ratio test confirmed that the series follows random walk. AR(1) process is significant, stable, converging and stationary. Forecast for 2035 of AR(1) model  is also a good fit. ARIMA(1,1,1) forecast model showed stable although non-stationary and likely to move downward towards 2035.Its AC and PAC are not declining and impulse response functions are diverging. Bai-Perron (2003) test assured that the GDP share has three structural breaks in 1968,1988 and 2006 respectively. The first two are downward and the third one is upward. H.P.Filter (1997)model reduced the cycle into a smooth trend which showed a clear tough during the study period. The GDP share contains cyclical fluctuations where 4peaks and 6 toughs are clearly visible.
Key words-  International GDP share, exponential growth, structural break, non-stationary, H.P.Filter
JEL-N15,O21,O24,O57,O10