Exchange rate uncertainty and US bilateral fresh fruit and fresh vegetable trade: an application of the gravity model

In order to analyse the effect of exchange rate uncertainty, we apply an empirical gravity equation to two sets of US bilateral trade data: fresh fruit over the period 1976–1999 for a panel of 26 countries; and fresh vegetables over the period 1976–2006 for a panel of nine countries. Based on panel estimation methods, and using both a moving SD measure and the Perée and Steinherr (1989) measure of exchange rate uncertainty, the results show that US bilateral fresh fruit trade has been negatively affected by exchange rate uncertainty. We also find some evidence that the exchange rate between the US dollar and the currencies of Latin American trading partners accounts for most of the negative impact of exchange rate uncertainty on bilateral trade flows in fresh fruit. In contrast, when using panel estimation methods and both measures of exchange rate uncertainty, we find no statistically significant evidence for any negative effect of exchange rate uncertainty on US bilateral fresh vegetable trade. However, we do find a statistically significant negative effect for exchange rate uncertainty when we estimate a US export gravity equation for fresh vegetables using the same panel of countries.     

Other financial institutions' portfolio behaviour and policy implications: A study of India

Abstract

Applied literature has largely neglected the asset decision of other financial institutions (OFIs), though it may possess important policy implications. In this paper, portfolio behaviour of OFIs in India is modelled by using the annual flow of funds data for 1951/52 to 1993/94. The long-run model of the Almost Ideal Demand System and the allied concepts of cointegration generated economically and statistically plausible results. We find a strong influence of interest rates on portfolio behavior, thereby the role of interest rates on resource allocation. The paper concludes that the macroeconomic management through monetary policy actions may not be unnecessarily limited through the channel of OFIs in the post-financial reform regime in India.     

The expectations hypothesis of the term structure of interest rates: The Brazilian case revisited

This article tests the Expectations Hypothesis (EH) using Brazilian monthly data for bond yields spanning the 2000–2017 sample period and ranging in maturity from 3 months to 5 years. Three tests are examined: the first is based on interest rates spread and the other two are based on the forward rates. On balance our results suggest rejection of the EH throughout the maturity spectrum examined, and are broadly consistent with previous findings that a linear combination of forward rates provides a statistically significant prediction of bond excess returns.     

Drivers of the real effective exchange rates in high and upper‐middle income countries

This paper revisits the nexus between real effective exchange rate (REER) and total factor productivity (TFP) by controlling for trade openness, financial development and natural resources rents. We use a sample of 60 high‐income and upper‐middle income countries over the period 1995–2015 and employ the GMM estimation framework. Our results advance the empirical knowledge on the drivers of REER by providing robust evidence that the impact of TFP is not uniform across different country clusters. We find that in high‐income countries, increasing productivity causes the REER to depreciate hence becoming more trade competitive while the opposite is true for upper‐middle income countries. Furthermore, financial development and natural resources rents have no meaningful impact in the case of upper‐middle income countries but retain a significant effect in high‐income countries. Trade openness plays a key role in explaining the variation in REER in both country clusters.     

Comparative Advantage Indices of Selected Livestock Production Sectors in Brunei Darussalam

Abstract

This study calculates the protection rates and comparative advantage indices of livestock industry in Brunei from an import substitution perspective. Four livestock sub-sectors were being evaluated: broiler, layer, goat and beef cattle. Two measures of government intervention indices were calculated, namely nominal protection rate (NPR) and effective protection rate (EPR). Domestic resource cost (DRC) and resource cost ratio (RCR) indices were computed to determine the comparative advantages of the livestock industry. In general, the results indicate that the livestock industry in Brunei was heavily protected. The study revealed the existence of comparative advantage only for very large farms producing poultry meat and eggs. Similarly in the ruminant sector, goat production appears to have comparative advantage over beef cattle. Small and medium poultry farms and large non-ruminant farms and cattle beef production possess comparative disadvantage despite being highly protected industries.     

Declining Discount Rates: The Long and the Short of it

The last few years have witnessed important advances in our understanding of time preference and social discounting. In particular, several rationales for the use of time-varying social discount rates have emerged. These rationales range from the ad hoc to the formal, with some founded solely in economic theory while others reflect principles of intergenerational equity. While these advances are to be applauded, the practitioner is left with a confusing array of rationales and the sense that almost any discount rate can be justified. This paper draws together these different strands and provides a critical review of past and present contributions to this literature. In addition to this we highlight some of the problems with employing DDRs in the decision-making process, the most pressing of which may be time inconsistency. We clarify their practical implications, and potential pitfalls, of the more credible rationales and argue that some approaches popular in environmental economics literature are ill-conceived. Finally, we illustrate the impact of different approaches by examining global warming and nuclear power investment. This includes an application and extension of Newell and Pizer [‘Discounting the benefits of climate change mitigation : how much do uncertain rates increase valuations?’ Journal of Environmental Economics and Management 46 (2003) 52] to UK interest rate data.     

Monetary policy and bank performance: The role of business models

This paper examines the relationship between monetary policy and bank performance in a multiple-instrument environment, particularly highlighting the conditioning role of bank business models. Employing a unique dataset of Vietnamese commercial banks from 2007 to 2019, we display that banks react to monetary policy changes, either when the central bank increases policy rates or injects money into the economy through open market operations, by decreasing overall returns and increasing financial instability. Additionally, we document that the accumulation of foreign exchange reserves benefits bank outcomes, contrasting to open market operations, albeit the central bank uses both of these policy instruments to alter money supply in the economy. Our key analysis of interest reveals that business models considerably matter in the effects of monetary policy on bank performance. Collectively, our findings demonstrate that banks’ business models that yield more non-interest income or diversify more into different income sources may mitigate the pass-through of monetary policy to bank performance. This finding holds across all interest- and quantitative-based monetary policy indicators and across all the functions of risk-taking behavior, earning-profit capacity, and financial stability. Furthermore, while plotting the marginal effects of monetary policy, we realize that they are insignificant for banks whose business models heavily rely on non-traditional segments.     

Cryptocurrencies and Cagan’s model of hyperinflation

The drivers of the prices of Bitcoin and Ethereum are studied within a framework based on Cagan’s model of hyperinflation. In the model, the prices of the cryptocurrencies are driven by stochastic adoption and velocity shocks as well as endogenous expectations of future prices. The model is estimated with data for prices, transaction volumes, and money supplies. A majority of price fluctuations in both currencies can be attributed to shocks in adoption, velocity shocks are much less important. The money demand sensitivity to expected price changes is estimated to be larger for Bitcoin than for Ethereum, and both have higher sensitivity than fiat currencies during episodes of hyperinflation.     

Nonlinearity and time-variation in the monetary model of exchange rates

In this paper we analyze the existence of nonlinear relationships between macroeconomic fundamentals and exchange rates for some major industrialized countries using an error correction model with time-varying parameters for the post Bretton Woods period. We find that inflation rate differentials with respect to the US inflation rate are the driving forces for the nonlinear relationships in the monetary model for exchange rates for the data from Germany, the UK, Canada, France and Italy. In addition to the variables in the traditional monetary model, also the relative interest rates are relevant in determining exchange rate changes only when the inflation differentials are either very large or very small. In contrast to previous studies we find significant long-run effects in the error correction representation of the monetary model for exchange rates when the nonlinear dynamics is taken into account in the analysis.     

A new multiscale decomposition ensemble approach for forecasting exchange rates

Due to the high complexity and strong nonlinearity nature of foreign exchange rates, how to forecast foreign exchange rate accurately is regarded as a challenging research topic. Therefore, developing highly accurate forecasting method is of great significance to investors and policy makers. A new multiscale decomposition ensemble approach to forecast foreign exchange rates is proposed in this paper. In the approach, the variational mode decomposition (VMD) method is utilized to divide foreign exchange rates into a finite number of subcomponents; the support vector neural network (SVNN) technique is used to model and forecast each subcomponent respectively; another SVNN technique is utilized to integrate the forecasting results of each subcomponent to generate the final forecast results. To verify the superiority of the proposed approach, four major exchange rates were chosen for model comparison and evaluation. The experimental results indicate that our proposed VMD-SVNN-SVNN multiscale decomposition ensemble approach outperforms some other benchmarks in terms of forecasting accuracy and statistical tests. This demonstrates that our proposed VMD-SVNN-SVNN multiscale decomposition ensemble approach is promising for forecasting foreign exchange rates.