Forecasting the yield curve and the role of macroeconomic information in Turkey

In this study we investigate the yield curve forecasting performance of Dynamic Nelson–Siegel Model (DNS), affine term structure VAR model (ATSM VAR) and principal component model (PC) in Turkey. We also investigate the role of macroeconomic variables in forecasting the yield curve. We have reached numbers of important results: 1—Macroeconomic variables are very useful in forecasting the yield curve. 2—The forecasting performances of the models depend on the period under review. 3—Considering the structural break which associates with change in monetary policy leads models to produce better forecasts than the random walk. 4—The role of exchange rate should not be ruled out in forecasting the yield curve in an emerging market like Turkey.     

Forecasting US recessions with various risk factors and dynamic probit models

This paper extends probit recession forecasting models by incorporating various recession risk factors and using the advanced dynamic probit modeling approaches. The proposed risk factors include financial market expectations of a gloomy economic outlook, credit or liquidity risks in the general economy, the risks of negative wealth effects resulting from the bursting of asset price bubbles, and signs of deteriorating macroeconomic fundamentals. The model specifications include three different dynamic probit models and the standard static model. The out-of-sample analysis suggests that the four probit models with the proposed risk factors can generate more accurate forecasts for the duration of recessions than the conventional static models with only yield spread and equity price index as the predictors. Among the four probit models, the dynamic and dynamic autoregressive probit models outperform the static and autoregressive models in terms of predicting the recession duration. With respect to forecasting the business cycle turning points, the static probit model is as good as the dynamic probit models by being able to flag an early warning signal of a recession.     

Aggregated and disaggregated import demand in China: An empirical study

This paper re-estimates both the aggregated and disaggregated import demand functions for China. We consider six groups of goods for the disaggregated imports based on the Standard International Trade Classification (SITC). The empirical findings from the dynamic ordinary least squares and autoregressive distributed lag regressions indicate that there are positive effects of the domestic income on imports. Second, contrary to theory but in line with previous studies, we obtain negative coefficients for the real effective exchange rate—a real appreciation in the Renminbi (RMB) would reduce import demand. Third, the period of the great global recession is negatively associated with the import demand in China. Fourth, the perception of tail risk negatively affects demand for the aggregated imports and five of six groups for the disaggregated imports. Fifth, the exchange rate reform had a positive impact on the aggregated imports, but our estimations report mixed results for the disaggregated imports. Finally, our results indicate that there is no aggregation bias for import demand in China.     

Yield spreads,currency movements,and recession predictability for southern border economies in the United States

Prior research establishes that the spread between long- and short-term bond yields often provides valuable information for predicting business cycle downturns. This study examines the predictive capacity of the yield spread for the United States metropolitan economies situated along the border with Mexico. Because of the location of these urban economies and various economic ties linking them with twin cities across the border, the Mexico yield spread, and the real dollar/peso exchange rate are also employed as potential recession predictors. Results suggest that a flattening of the yield curve for either country tends to increase the probability of recessions in border economies. Furthermore, declines in the real value of the peso, which are typically associated with greater cross-border manufacturing activity, are found to reduce recession likelihoods in the metropolitan economies examined on the north side of the international boundary.     

Yield Curve Inversion and the Incidence of Recession: A Dynamic IS-LM Model with Term Structure of Interest Rates

This paper attempts to explain why yield curve inversion may serve as a leading indicator of recessions. It employs an IS-LM model with the term structure of interest rates and provides a formal phase-diagram analysis of dynamic adjustment process. It demonstrates that the occurrence of yield curve inversion is an off-equilibrium phenomenon after an adverse shock in the adjustment process of interest rates and output, and that an inverted yield curve may lead, but does not lead to, a recession.     

Error correction modelling and dynamic specifications as a conduit to outperforming the random walk in exchange rate forecasting

The proposition that dynamic exchange rate models can outperform the random walk in out-of-sample forecasting, in the sense that they produce lower mean square errors, is examined and disputed. By using several dynamic versions of three macroeconomic exchange rate models, it is demonstrated that dynamic specifications outperform the corresponding static models but improvement in the forecasting power may not be sufficient for the dynamic models to perform better than the random walk. The results are explained by suggesting that any dynamic specification or transformation of the static model leads to the introduction of a lagged dependent variable, which in effect is a random walk component. The analysis leads to the conclusion that it is implausible to aim at beating the random walk by augmenting a static model with a random walk component.     

The J‐Curve: Evidence from Fiji*

This article provides new evidence on both long run and short‐run determinants of trade balance for Fiji and investigates evidence of J‐curve adjustment behaviour in the aftermath of a devaluation. We adopt a partial reduced form model that models the real trade balance directly as a function of the real exchange rate and real domestic and foreign incomes. Cointegration analysis is based on a recently developed autoregressive distributed lag approach—shown to provide robust results in finite samples. The long run elasticities are also estimated using a dynamic ordinary least squares approach and the Fully Modified Ordinary Least Squares (FM‐OLS) approach. Amongst our key results we find that there is a long‐run relationship between trade balance and its determinants. There is evidence of the J‐curve pattern; growth in domestic income affects Fiji’s trade balance adversely while foreign income improves it.     

Predicting Canadian recessions using dynamic probit modelling approaches

Abstract This paper examines the ability of various financial and macroeconomic variables to forecast Canadian recessions. It evaluates four model specifications, including the advanced dynamic, autoregressive, dynamic autoregressive probit models as well as the conventional static probit model. The empirical results highlight several significant recession predictors, notably the government bond yield spread, growth rates of the housing starts, the real money supply and the composite index of leading indicators. Both the in‐sample and out‐of‐sample results suggest that the forecasting performance of the four probit models is mixed. The dynamic and dynamic autoregressive probit models are better in predicting the duration of recessions while the static and autoregressive probit models are better in forecasting the peaks of business cycles. Hence, the advanced dynamic models and the conventional static probit model can complement one another to provide more accurate forecasts for the duration and turning points of business cycles.     

Convenience yield and real exchange rate dynamics: A present-value interpretation

In this paper, we empirically investigate the relationship between the convenience yield of government bonds and the real exchange rates using monthly data from 1999 to 2018. We extend the conventional models, based on the present-value relationship between the real exchange rate and economic fundamentals, while explicitly considering the role of the convenience yield. Empirical results suggest that our present-value models can capture the dynamic properties of the real exchange rate documented in the literature, including high persistence, excess volatility and excess co-movement compared with real interest rate differentials. We also find that the sum of expected convenience yields significantly drives real exchange rate movements. Moreover, we find that foreign exchange swap market friction also plays a role in explaining real exchange rates. Finally, we find that monetary policy at the zero lower bound may be essential in real exchange rate modelling.     

Applications of an IS-MP Model with Yield Curve

This paper presents an IS-MP model with the term structure of interest rates (i.e., the yield curve) and discusses some of its applications to recent macroeconomic activities and policy issues. Specifically, the model is employed to explain (1) why a steepening yield curve may signal the subsequent economic expansion, (2) why long-term zero interest rate policy (ZIRP) may not completely avoid recessions, but disables the yield curve from being inverted to signal the following economic recession, (3) how Operation Twist (OT) may help ease the recession, in particular, under ZIRP, and what limit it may face.     

The Sovereign Yield Curve and the Macroeconomy in China

A dynamic Nelson–Siegel model is adopted to estimate three time‐varying factors of yield curves, the level, the slope and the curvature, and a vector autoregressive model is built to study interactions between macro variables and the yield curve. Results show that, first, money supply growth is a more effective instrument to curb inflation than the monetary policy interest rate; however, the central bank also adjusts the interest rate to stabilize money supply. Second, investment is an important measure to stimulate the Chinese economy, but it also pushes up money supply growth, which results in higher inflation. Third, the yield curve reacts significantly to innovations to investment growth and money supply growth. The segmentation of China's bond market hinders the efficient implementation of monetary policy, and the monetary policy transmission mechanism is still weak in China. Finally, interactions between the yield curve and the macroeconomy in China are nearly unidirectional. Macroeconomic variables reshape the yield curve, but direct adjustments of the yield curve do not significantly change macroeconomic variables. Due to the incomplete liberalization of financial markets, there exists a wide disjunction between the real economy and financial markets in China.     

Do sticky prices increase real exchange rate volatility at the sector level?

We introduce the real exchange rate volatility curve as a useful device to understand the relationship between price stickiness and the fluctuations in Law of One Price deviations. In the presence of both nominal and real shocks, the theory predicts that the real exchange rate volatility curve is a U-shaped function of the degree of price stickiness. Using sector-level US–European real exchange rate data and frequency of price changes, we estimate the volatility curve and find the predominance of real effects over nominal effects. Good-by-good variance decompositions show that the relative contribution of nominal shocks is smaller at the sector level than what previous studies have found at the aggregate level, consistent with significant averaging out of good-specific real microeconomic shocks.     

Exchange Rate Exposure of Sectoral Returns and Volatilities: Further Evidence From Japanese Industrial Sectors

In this paper we argue that the commonly employed exposure coefficient/beta is inadequate for capturing the entire impact of exchange rate changes on firms' future operating cash flows. Instead, we employ the bivariate Glosten–Jagannathan–Runkle generalized autoregressive conditional heteroskedasticity mean model to investigate four aspects of exchange rate exposure, including sensitivity of stock returns to exchange rate changes, sensitivity of stock returns to the volatility of exchange rate changes, sensitivity of conditional variance of returns to exchange rate volatility, and the dynamic conditional correlation between returns and exchange rate changes, respectively, using data from 10 industrial sectors in Japan. We find significant evidence of such exchange rate exposure which is not captured by the conventional measure. The diagnostic statistics confirm the adequacy of our model, and, hence, the robustness of the results.     

The conditional influence of term spread and pattern changes on future equity returns

We extend previous research examining the relation between interest rates and equity returns using a multivariate analysis of covariance model with a dynamic yield curve and conditioned term spread. We find yield pattern changes predict economic equity returns; that the long end-of-yield curve is a strong determinant factor; and, in contrast to previous research, we find no relation between a decrease in the short rate and equity returns. However, the conditional term spread captures a significant positive return indicating that the degree of decline in the short rate relative to the long rate is of more importance than the term spread alone.     

人民币实际有效汇率变动对我国进出口贸易影响的实证研究——基于1995-2011年数据

本文采用基于VAR的Johansen协整检验和向量误差修正（VEC）模型实证分析了人民币实际有效汇率变动对我国进出口贸易的长期静态影响及短期动态影响。结果发现,长期进出口贸易的汇率弹性均不显著,进口的汇率弹性较大,出口几乎无汇率弹性;长期进出口贸易的变化主要由国内外收入决定;短期内,进出口的汇率弹性同为负,即汇率贬值,进出口均增加,汇率升值降低出口的同时,进口也会下降且下降幅度大于出口的减少;而且向长期均衡调整的力度较小。因此说明单纯的汇率调整不能有效改善我国的贸易不平衡问题。     

Export pricing and exchange rate expectations under uncertainty

This paper contributes to the literature on firms’ export pricing by assessing whether and to what extent firms take into account the expected future evolution of the exchange rates while setting their prices. Using French micro-level trade data, our empirical analysis reveals that by adjusting their export prices, firms partly absorb information about future exchange rate variations. The extent to which individual exporters absorb future exchange rate fluctuations is found to depend on their market power, in accordance with theoretical dynamic demand-side models encompassing mechanisms creating an inter-temporal relationship between current market shares and future profits. The analysis also shows that the strength of such expectation-related mechanism is considerably reduced with greater future exchange rate uncertainty, in line with an interpretation of pricing-to-market as an investment decision under uncertainty. In a comparative perspective our results are shown to drive asymmetric responses across destinations of aggregate bilateral export flows to expected exchange rate movements.     

Why does monetary policy respond to the real exchange rate in small open economies? A Bayesian perspective

To estimate how monetary policy works in small open economies, we build a dynamic stochastic general equilibrium model that incorporates the basic features of these economies. We conclude that the monetary policy in a group of small open economies (including Australia, Chile, Colombia, Peru, and New Zealand) is rather similar to that observed in closed economies. Our results also indicate, however, that there are strong differences due to the shocks from the international financial markets (mainly risk premium shocks). These differences explain most of the variability of the real exchange rate, which has important reallocation effects in the short run. Our results are consistent with an old idea from the Mundell–Fleming model: namely, a real depreciation to confront a risk premium shock is expansive or procyclical, in contradiction to the predictions of the balance sheet effect, the J curve effect, and the introduction of working capital into RBC models. In line with this last result, we have strong evidence that only in one of the five countries analyzed in this study does not intervene the real exchange rate, the case of New Zealand.     

Default and liquidity regimes in the bond market during the 2002–2012 period

Using a real‐time random regime shift technique, we identify and discuss two different regimes in the dynamics of credit spreads during 2002–2012: a liquidity regime and a default regime. Both regimes contribute to the patterns observed in credit spreads. The liquidity regime seems to explain the predictive power of credit risk on the 2007–2009 NBER recession, whereas the default regime drives the persistence of credit spreads over the same recession. Our results complement the recent dynamic structural models as well as monetary and credit supply effects models by empirically supporting two important patterns in credit spreads: the persistence and the predictive ability toward economic downturns.     

A nonlinear approach to the U.S.–Australia commodity trade and the J‐curve: Evidence from 123 industries

The application of nonlinear models and asymmetric analysis have recently proven to yield results that are superior to those of the linear and symmetric analysis. However, the new approaches in testing the J‐curve between Australia and the rest of the world or between Australia and her trading partners such as the United States did not yield any significant outcomes. Suspecting that those results suffer from aggregation bias, we apply new methods to the trade flows of 123 industries that trade between the United States and Australia and give evidence of an asymmetric J‐curve in 28 industries. Furthermore, we find short‐run asymmetric effects of exchange rate changes on the trade balance of almost all studies, short‐run impact asymmetric effects in 27 industries and significant long‐run asymmetric effects in 56 industries. Our findings are industry‐specific.     

Firm–Specific Assets and the Link between Exchange Rates and Japanese Foreign Direct Investment in the United States: A Re–examination

Blonigen has studied Japanese foreign direct investment (FDI) in the USA using panel count models and data for 1975–92. He reports that appreciation of Japanese yen had a positive impact on Japanese FDI in the USA. We re–examine the robustness of this conclusion using Blonigen’s data and a family of econometric models—finite mixture panel count models—that are more flexible and appear to provide an improved fit to his data. Although our results broadly support Blonigen’s conclusions regarding the link between the exchange rate and Japanese FDI in the USA, our approach highlights the considerable diversity in the response of FDI to exchange rate variations. JEL Classification Number: C25.