[PDF] Comparing Parametric And Non Parametric Early Warning Systems For Currency Crises In Emerging Market Economies eBook
Comparing Parametric And Non Parametric Early Warning Systems For Currency Crises In Emerging Market Economies Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Comparing Parametric And Non Parametric Early Warning Systems For Currency Crises In Emerging Market Economies book. This book definitely worth reading, it is an incredibly well-written.
The purpose of this paper is to compare in-sample and out-of-sample performances of three parametric and non-parametric early warning systems (EWS) for currency crises in emerging market economies (EMs). The parametric EWS achieves superior out-of-sample results compared to the non-parametric EWS, as the total misclassification error of the former is lower than that of the latter. In addition, we find that the performances of the parametric and non-parametric EWS do not improve if the policymaker becomes more prudent. From a policy perspective, the policymaker faces the standard trade-off when using EWS. Greater prudence allows the policymaker to correctly call more crisis episodes, but this comes at the cost of issuing more false alarms. The benefit of correctly calling more currency crises needs to be traded off against the cost of issuing more false alarms and of implementing corrective macroeconomic policies prematurely.
We compare how logit (fixed effects) and probit early warning systems (EWS) predict insample and out-of-sample currency crises in emerging markets (EMs). We look at episodes of currency crises that took place in 29 EMs between January 1995 and December 2012. Stronger real GDP growth rates and higher net foreign assets significantly reduce the probability of experiencing a currency crisis, while high levels of credit to the private sector increase it. We find that the logit and probit EWS out-of-sample performances are broadly similar, and that the EWS performance can be very sensitive both to the size of the estimation sample, and to the crisis definition employed. For macroeconomic policy purposes, we conclude that a currency crisis definition identifying more rather than less crisis episodes should be used, even if this may lead to the risk of issuing false alarms.
Previous early-warning systems (EWSs) for currency crises have relied on models that require a priori dating of crises. This paper proposes an alternative EWS, based on a Markov-switching model, which identifies and characterizes crisis periods endogenously; this also allows the model to utilize information contained in exchange rate dynamics. The model is estimated using data for the period 1972-99 for the Asian crisis countries, taking a country-by-country approach. The model outperforms standard EWSs, both in signaling crises and reducing false alarms. Two lessons emerge. First, accounting for the dynamics of exchange rates is important. Second, different indicators matter for different countries, suggesting that the assumption of parameter constancy underlying panel estimates of EWSs may contribute to poor performance.
This paper aims at identifying key empirical regularities characterizing the onset of a currency crisis that might be suitable for early warning purposes and proceeds by providing analysis and empirical tests of economic and financial variables both in-sample and out-of-sample in order to assess their performance as leading indicators of a speculative attack. Two distinct methodologies are compared and implications for the theory of currency crises and economic policies to their prevention will be investigated in the process.
The object of this paper is to develop an operational early warning system (EWS) that can detect financial crises. To achieve this goal the paper analyzes and extends the early warning system developed by Kaminsky, Lizondo, and Reinhart (1998) and Kaminsky and Reinhart (1999) that is based on the "signal" approach. This system monitors several indicators that tend to exhibit an unusual behavior in the periods preceding a crisis. When an indicator exceeds (or falls below) a threshold, then it is said to issue a "signal" that a currency crisis may occur within a given period. The model does a fairly good job of anticipating some of the crises in 1997/1998, but several weaknesses to the approach are identified. The paper also evaluates how this system can be applied to an individual country. On balance, the results in this paper are mixed, but the results suggest that an early warning system should be thought of as a useful diagnostic tool.
This festschrift volume presents discussions on contemporary issues in international economics and finance. It is aimed to serve as a reference material for researchers. There are two broad sections of the book -- International Macroeconomics and International Finance. The chapters in the International Macroeconomics section discuss critical topics like aggregate level macro model for India with a new Keynesian perspective, balance of payments, service sector exports, foreign exchange constraints for import demands, foreign direct investment and knowledge spill over, the relationship between forex rate fluctuation and investment, Institutional quality-trade openness-economic growth nexus, currency crises and debt-deficit relationship in the BRICS countries in the backdrop of COVID-19. Apart from these, various analytical issues related to macroeconomic policies are also covered in this section. The topics discussed includes the nature of forex market interventions, the issue of disinvestment and privatization, changing nature of fiscal policy, the inflation-growth nexus, macroeconomic simulation modelling, measuring core inflation, central bank credibility, monetary policy, inflation targeting, Infrastructure, trade, unemployment and inequality nexus. In the International Finance section, topics such as COVID-19 induced financial crisis, commodity futures volatility, stock market connectivity, volatility persistence, determinants of sovereign bond yields, FII and stock market volatility, cryptocurrency price formation, financialization of Indian commodity market, and a Keynesian view of the financial crisis are discussed. Overall, thirty two chapters in the volume discuss cutting edge research in the areas of the two sections. A tour de force... a lucid guide to some of the diverse and complex issues in International Macroeconomics and Finance. This collection of scholarly works is a fitting tribute to respected Prof. Bandi Kamaiah and his enviable academic contributions. - Prof. Y V Reddy, Former Governor, Reserve Bank of India This volume comprising thoughtful essays by our leading scholars on some of important policy issues that India is facing is indeed a rich tribute to Professor Bandi Kamaiah . This book will greatly benefit the academic community as well as our policy makers. - Prof. Vijay Kelkar, Chairman, 13th Finance Commission of India; Chairman, India Development Foundation, Mumbai, India Noted economists from India and abroad gather to apply the rigorous searchlight that Professor Bandi Kamaiah used so effectively in his career. Major current topics in macroeconomics and international finance are effectively explored in the volume. - Prof. Ashima Goyal, Emeritus Professor, Indira Gandhi Institute of Development Research, Mumbai, India; and Member, Monetary Policy Committee of Reserve Bank of India This volume of 32 papers in macroeconomics, international economics, and international finance is intended as a tribute to the eminent econometrician , Prof B Kamaiah. Post-graduate students and researchers will find much valuable literature in the volume, which is a fitting tribute to Prof Kamaiah. The editors and authors deserve rich compliments. - Prof. K L Krishna, Former Director, Delhi School of Economics, New Delhi, India I am so happy to hear that Dr. Kamaiah's colleagues and ex-students are bringing out a special volume of articles in his honor. Nothing can be more appropriate. Dr. Kamaiah, being a man of tremendous publications, deserves this tribute. I wish all the luck and success to the new book. - Prof. Kishore Kulkarni, Distinguished Professor of Economics, Metropolitan State University of Denver, USA
Can the upturns and downturns in financial variables serve as early warning indicators of banking crises? Using data from 59 advanced and emerging economies, we show that financial overheating can be detected in real time. Equity prices and output gap are the best leading indicators in advanced markets; in emerging markets, these are equity and property prices and credit gap. Moreover, aggregating this information flags financial crisis many years before the crisis. Lastly, we find that the length of financial cycles is of medium-term frequency, calling into question the longer frequency widely used in the estimation of countercyclical capital buffers.
Previous early-warning systems (EWSs) for currency crises have relied on models that require a priori dating of crises. This paper proposes an alternative EWS, based on a Markov-switching model, which identifies and characterizes crisis periods endogenously; this also allows the model to utilize information contained in exchange rate dynamics. The model is estimated using data for the period 1972-99 for the Asian crisis countries, taking a country-by-country approach. The model outperforms standard EWSs, both in signaling crises and reducing false alarms. Two lessons emerge. First, accounting for the dynamics of exchange rates is important. Second, different indicators matter for different countries, suggesting that the assumption of parameter constancy underlying panel estimates of EWSs may contribute to poor performance.
Early warning systems (EWS) are widely used for assessing countries’ vulnerability to fiscal distress. Most EWS employ a specific set of only fiscal leading indicators predetermined by the researchers, which casts doubt on their robustness. We revisit this issue by using the Extreme Bound Analysis, which allows identifying robust leading indicators of fiscal distress from a large set. Consistent with the theoretical predictions of latest generation crisis models, we find that both fiscal (e.g., fiscal balance, foreign exchange debt) and non-fiscal leading indicators (e.g., output, FX reserves, current account balance, and openness) are robust. In addition, we find that a fiscal vulnerability indicator based on fiscal and non-fiscal leading indicators offers a 29% gain in predictive power compared to a traditional one based on fiscal leading indicators only. It also has good predictive power out of sample, with 78 percent of crises predicted correctly and only 34 percent false alarms issued for the period 2008–15. This suggests that both fiscal and non-fiscal leading indicators should be taken into account when assessing country’s vulnerability to fiscal distress.