Utilizing financial market information in forecasting real growth,inflation and real exchange rate

In this paper we build an open economy extension of the Gordon (1962) valuation model that suggests a simple forecasting system for three macroeconomic variables; the real growth, inflation and real exchange rate. All the forecasting equations in our system utilize current financial market information in the form of dividend yields and short-term interest rate. Our empirical results indicate that these simple forms of financial market information are relevant for forecasting the time-varying underlying trends in the macroeconomic data for the U.K., Eurozone and Japan, when treating the U.S. as the world market.     

Divisia monetary aggregates and US GDP nowcasting

ABSTRACT

This article nowcasts US quarterly real GDP growth rate with dynamic factor model (DFM) using Divisia Monetary Aggregate Index, Divisia M1, M2, M3, and exploits information from a large, unbalanced panel data. GDP nowcasting is evaluating the current quarter GDP given the available economic data up to the point when the nowcasting is conducted. GDP data is published quarterly with a substantial lag, while many monetary and financial decisions are made at a higher frequency. Therefore, nowcasting GDP has become an increasingly important task for central banks. This article uses DFM to nowcast GDP, compares the nowcasting results from DFM with the simple sum monetary aggregate M1, M2, M3, to the Model with weighted corresponding Divisia Index, then calculates the contributions of the Divisia Monetary index to US GDP nowcasting.     

The illusive quest: Do international capital controls contribute to currency stability?

We investigate the effectiveness of capital controls in insulating economies from currency crises, focusing in particular on both direct and indirect effects of capital controls and how these relationships may have changed over time in response to global financial liberalization and the greater mobility of international capital. We predict the likelihood of currency crises using standard macroeconomic variables and a probit equation estimation methodology with random effects. We employ a comprehensive panel data set comprised of 69 emerging market and developing economies over 1975–2004. Both standard and duration-adjusted measures of capital control intensity (allowing controls to “depreciate” over time) suggest that capital controls have not effectively insulated economies from currency crises at any time during our sample period. Maintaining real GDP growth and limiting real overvaluation are critical factors preventing currency crises, not capital controls. However, the presence of capital controls greatly increases the sensitivity of currency crises to changes in real GDP growth and real exchange rate overvaluation, making countries more vulnerable to changes in fundamentals. Our model suggests that emerging markets weathered the 2007–2008 crisis relatively well because of strong output growth and exchange rate flexibility that limited overvaluation of their currencies.     

Measuring the effectiveness of US monetary policy during the COVID-19 recession

The COVID-19 recession that started in March 2020 led to an unprecedented decline in economic activity across the globe. To fight this recession, policy makers in central banks engaged in expansionary monetary policy. This paper asks whether the measures adopted by the US Federal Reserve (Fed) have been effective in boosting real activity and calming financial markets. To measure these effects at high frequencies, we propose a novel mixed frequency vector autoregressive (MF-VAR) model. This model allows us to combine weekly and monthly information within a unified framework. Our model combines a set of macroeconomic aggregates such as industrial production, unemployment rates, and inflation with high-frequency information from financial markets such as stock prices, interest rate spreads, and weekly information on the Fed's balance sheet size. The latter set of high-frequency time series is used to dynamically interpolate the monthly time series to obtain weekly macroeconomic measures. We use this setup to simulate counterfactuals in absence of monetary stimulus. The results show that the monetary expansion caused higher output growth and stock market returns, more favorable long-term financing conditions and a depreciation of the US dollar compared with a no-policy benchmark scenario.     

Does financialization retard growth? Time series and cross-sectional evidence

Although financial development is essential for economic development, excessive financialization of the economy is believed to exert a negative effect on output growth. In this article, empirical evidence is presented on the relation between economic growth and financialization as measured by the ratio of credit to GDP and the ratio of publicly traded shares to GDP. The empirical results are based on annual time series data for six country groups as well as cross-sectional data covering a large number of countries. The model is initially specified with unobserved components and estimated in a time-varying parametric framework to account for missing variables. Thereafter, the issue of linear versus quadratic specifications is examined. The results are robust with respect to model specification, estimation method, data type and variable definition, showing in general that financialization has a negative impact on growth. Some evidence is also presented to support the notion of the financial Kuznets curve.     

A time-varying “natural” rate of interest for the euro area

We estimate a time-varying “natural” rate of interest (TVNRI) for a synthetic euro area over the period 1979Q1-2004Q4 using a small macroeconomic model, broadly following a methodology developed by Laubach and Williams [2003. Measuring the natural rate of interest. The Review of Economics and Statistics 85(4), 1063-1070] for the United States. The Kalman filter simultaneously estimates the output gap and the natural rate of interest. Our identifying assumptions include a close relationship between the TVNRI and the low-frequency fluctuations of potential output growth. The difference between the real rate of interest and its estimated natural level offers valuable insights into the monetary policy stance over the last two decades and a half.     

Identifying terms of trade shocks in a developing country using a sign restrictions approach

Using annual data for Botswana from 1960 to 2012, we examine the responses of macroeconomic variables to four generalized positive terms of trade shocks – global demand, globalizing, sector-specific and global supply. A sign-restricted structural vector autoregression model with a penalty function is estimated to identify the four possible shocks. While positive global demand and globalization shocks are both expansionary, they have opposite effects on inflation. A positive commodity market specific shock dampens real GDP growth and is inflationary, suggesting a possible Dutch disease response. A negative global supply shock suppresses both output growth and inflation. All but the last shock leads to a significant declining interest rate. Monetary policy contraction is recommended for the first shock and expansion for the others.     

Financialization and the macroeconomy. Theory and empirical evidence

This paper sheds light on the macroeconomic impact of financialization in the banking sector. We develop a new stock-flow consistent model, which reveals that excessive leverage increases financial fragility, lowers wages, and slows down real sector investment and GDP growth. Using a panel of 29 high income countries, we then construct indicators of banking financialization and investigate the impact of the latter on the wage share, gross capital formation and GDP growth, using a Bayesian structural VAR framework, as well as a set of fixed effect regressions. Our results highlight that financialization has had a detrimental impact on real sector growth. Finally, we discuss the implications of our results to propose reforms to the international financial system.     

Empirical research on time-varying characteristics and efficiency of the Chinese economy and monetary policy: evidence from the MI-TVP-VAR model

Based on the general time-varying parameter vector autoregressive model and data mining technology, this study proposes a new extension mixed innovation time-varying parameter stochastic volatility vector autoregressive model and investigates time-varying characteristics and efficiencies of different shock effects on China’s monetary policy towards inflation and GDP. Using sample monthly data for 1979–2014, we utilize typical time points to illustrate the mechanisms between different economic variables via the Markov Chain Monte Carlo method and impulse response function. The empirical results show that the monetary transmission mechanism in China can be effective in the real economy, but with delay and efficiency leakage. The average delay and maximum efficiency can be measured through the MI model, which can capture accurate information of economic variables, effectively improving the precision of macroeconomic regulation and control. Meanwhile, the difference between the impacts of different channels is obvious; while the impact of interest rates is not significant, the impact of stock market is significant. The action mechanism between GDP and the inflation rate undergoes a gradual structural change, evidently displaying time-varying characteristics and a gradually weakening impact over time.     

Have structural changes eliminated the out-of-sample ability of financial variables to forecast real activity after the mid-1980s? Evidence from the Canadian economy

This article evaluates how consistently reliable the information content of individual financial variables is for Canada's future output growth. We estimate the timing of structural changes in linear growth models and check robustness to specification changes, multiple breaks, and business cycle asymmetry. Our simulated out-of-sample forecast evaluation strategy, using the Mean Square Error F-type (MSE-F) and the new encompassing (ENC-NEW) tests, shows that the leading information content of most financial variables for Canada's future Gross Domestic Product (GDP) growth has deteriorated substantially after 1984:04, but the 1–3-year term spread exhibits a consistently reliable predictive ability at the 1 and 2 quarter horizons and has significant forecasting ability at the 8 quarter horizon. Also, the real M1 money growth has regained its ability to forecast output growth since 1991:01.     

Elections, exchange rates and reform in Latin America

In this paper, we study the link between real exchange rate (RER) depreciation and elections in Latin America. Our contribution is threefold. First, we employ a statistical model that takes into account the pervasive conditional heteroskedasticity found in financial data and includes a wide range of macroeconomic variables as regressors. Second, we test whether the wave of central bank reform that swept the region has had any effect on the existence or strength of the electoral cycle in exchange rates. Third, we test an additional hypothesis, namely, that financial liberalization may also be an important variable explaining changes in electoral effects on the real exchange rate. In a panel of 9 Latin American countries with available macroeconomic data and a history of exogenous election dates, we confirm the previous findings that real depreciation intensifies after elections even when modeling the significant conditional heteroskedasticity in these data. We also show, for the first time in the literature, that post-election exchange rates are significantly less predictable. We go on to test whether central bank reform has influenced the way in which elections affect the RER in Latin America. If reform has been effective at reducing political manipulation of the exchange rate, then any relationship we see between elections and the RER before central bank reform should be mitigated in the post-reform era. We find that the relationship disappears after reform and that post-reform real exchange rates are also significantly less volatile. Finally, we show that financial liberalization seems to have a stronger effect on the conditional variance of the RER than does central bank reform, but reform has a stronger impact on the conditional mean.     

The new MIBA model: Real-time nowcasting of French GDP using the Banque de France's monthly business survey

This paper introduces a new nowcasting model of the French quarterly real GDP growth rate (MIBA), developed at the Banque de France and based on monthly business surveys. The model is designed to target initial announcements of GDP in a mixed-frequency framework. The selected equations for each forecast horizon are consistent with the time frame of real-time nowcasting exercises: the first one includes mainly information on the expected evolution of economic activity, while the second and third equations rely more on information on observed business outcomes. The predictive accuracy of the model increases over the forecast horizon, consistent with the gradual increase in available information. Furthermore, the model outperforms a wide set of alternatives, such as its previous version and MIDAS regressions, although not a specification including also hard data. Further research should evaluate the performance of the MIBA model with respect to promising alternative approaches for nowcasting GDP (e.g. mixed-frequency factor models with targeted predictors), and consider forecast combinations and density forecasts.     

A neoclassical analysis of the Korean crisis

In late 1997, Korea experienced a huge and unusual economic crisis. The three main features of this crisis are the sudden recession, the rapid recovery and a consumption drop as large as the output drop. A large body of literature qualitatively explains the Korean crisis in terms of financial and monetary variables such as exchange rates and interest rates. This paper complements these studies by quantitatively analyzing fluctuations in real macroeconomic variables such as real GDP and consumption. A stochastic small open economy neoclassical model can quantitatively account for the Korean crisis taking TFP and real interest rates as exogenous.     

Macroeconomic and credit forecasts during the Greek crisis using Bayesian VARs

We investigate the ability of small- and medium-scale Bayesian VARs (BVARs) to produce accurate macroeconomic (output and inflation) and credit (loans and lending rate) out-of-sample forecasts during the latest Greek crisis. We implement recently proposed Bayesian shrinkage techniques based on Bayesian hierarchical modeling, and we evaluate the information content of forty-two (42) monthly macroeconomic and financial variables in terms of point and density forecasting. Alternative competing models employed in the study include Bayesian autoregressions (BARs) and time-varying parameter VARs with stochastic volatility, among others. The empirical results reveal that, overall, medium-scale BVARs enriched with economy-wide variables can considerably and consistently improve short-term inflation forecasts. The information content of financial variables, on the other hand, proves to be beneficial for the lending rate density forecasts across forecasting horizons. Both of the above-mentioned results are robust to alternative specification choices, while for the rest of the variables smaller-scale BVARs, or even univariate BARs, produce superior forecasts. Finally, we find that the popular, data-driven, shrinkage methods produce, on average, inferior forecasts compared to the theoretically grounded method considered here.     

Assessing the stochastic stability of public debt: the case of Austria

This paper characterizes the long-run distribution of Austrian public debt using a Markov chain model of the debt-GDP ratio and several key macroeconomic variables. We apply Bayesian techniques to estimate the transition probabilities of the model which allows to incorporate information from other countries. Based on the model, we argue that the historical record of Austrian fiscal policy is consistent with a stable long-run distribution of the debt-GDP ratio with an expected value close to the 60% threshold of the Maastricht treaty. Our results suggests that the strong increase in the debt-GDP ratio in the aftermath of the recent financial crisis should be seen as a transitory tail event rather than as a sign of long-run unsustainability. However, we also show that the existence of a stable long-run distribution depends on a continuing tendency of fiscal policy to “lean against debt” by reducing the primary deficit in face of rising debt. Finally we assess how exogenous shocks to the primary deficit and real GDP growth affect the model-implied distribution.     

Macroeconomic uncertainty,inflation and growth: Regime-dependent effects in the G7

We analyze the causal effects of real and nominal macroeconomic uncertainty on inflation and output growth by considering whether these effects are cycle phase specific. Employing a bivariate Smooth Transition EGARCH-M model for the G7 countries during 1957–2009, we find strong nonlinearities. First, uncertainty regarding the output growth rate is related with a higher average growth rate mostly in a low-growth regime, supporting the theory of “creative destruction”. Second, higher inflation uncertainty diminishes growth rates, mainly at a high-inflation regime. Finally, real uncertainty has mixed effects on average inflation, while the effect of nominal uncertainty is typically positive, especially so during inflationary periods. Our findings suggest that these relationships are sufficiently complex to require treatment with nonlinear models.     

The propagation of financial turbulence: interdependence,spillovers, and direct and indirect effects

We investigate the propagation of financial turbulence via trade, capital flows, and distance channels in the pre-crisis and Global Financial Crisis periods by modeling spillover and interdependence effects, using spatial econometric techniques. Financial turbulence is proxied by the ratio of nonperforming loans to total loans in a country. Spillover effects are defined as significant changes in the linkages between countries due to a shock, and interdependence effects as strong linkages among pairs of countries independent of shocks. Using annual data of 40 countries from 2003 to 2010, we find that interdependence and spillover effects should be jointly analyzed. Furthermore, our results suggest that the capital flows channel is more important than the other two channels in capturing propagation of financial turbulence. By deriving what is known in the spatial econometrics literature as direct and indirect effect estimates, we show that the marginal effects of macroeconomic variables (like GDP growth, inflation, and credit growth) on financial turbulence take different forms during a crisis than in tranquil periods.     

Macroeconomic Uncertainty and Performance in Asian Countries*

We use a very general bivariate GARCH‐M model and quarterly data for five Asian countries to test for the impact of real and nominal macroeconomic uncertainty on inflation and output growth. We conclude the following. First, in the majority of countries uncertainty regarding the output growth rate is related negatively to the average growth rate. Secondly, contrary to expectations, inflation uncertainty in most cases does not harm the output growth performance of an economy. Thirdly, inflation and output uncertainty have a mixed effect on inflation. Consistent results are found using the VAR‐GARCH‐M approach to investigate the dynamic relationship between inflation and output growth using impulse response functions. This evidence implies that macroeconomic uncertainty may even improve macroeconomic performance, i.e. raise output growth and reduce inflation. Our empirical results highlight important differences with those for industrialized countries.     

On the reduced macroeconomic volatility of the Australian economy: Good policy or good luck?

The Australian economy has experienced various changes in macroeconomic conditions over the past four decades. These changes have been associated with reduced volatility in key macroeconomic variables: CPI inflation, real GDP and the TWI measured real exchange rate. In light of this fact, my objective in this paper is to determine whether this reduction is associated with good policy or good luck. To this end, I estimate a time varying structural VAR model that is identified with theoretically consistent sign restrictions from a small open economy dynamic stochastic general equilibrium model. The primary result is that both non-systematic and systematic monetary policy have changed over the past four decades. In particular, non-systematic responses of inflation, real GDP and the exchange rate have increased since the adoption of a flexible exchange rate in 1983, while systematic responses of the cash rate to inflation have experienced various changes in intensities, exhibiting a trend towards a more passive behaviour since the 2007/08 financial crisis. Taken together, these results suggest that the reduction in macroeconomic volatility is associated with good policy.     

Assessing the predictive power of financial spreads in the euro area: does parameters instability matter?

In the empirical literature there is wide consensus that financial spreads cannot constitute a broadly based assessment on future output growth and inflation because the bivariate estimated regressions are not stable over time and lead to relatively poor out-of-sample forecasting performance (e.g. J Econ Liter 41:788–829, 2003). This conclusion arised for the USA, as well as for several European countries. In this paper we check whether the marginal predictive content of some financial spreads (the slope of the yield curve, the reverse yield gap and the credit spread) for macroeconomic forecasting in the euro area can be recovered using techniques taking into account potential parameters instability. We set up a quarterly Bayesian vector autoregression model with time-varying coefficients, comprising both target variables, as well as other monetary policy indicators, to serve as a benchmark. Then, the properties of the spreads as leading indicators are assessed by augmenting this benchmark BVAR with the spreads, one at a time. We find time variation of the coefficients to be a relevant issue in our model, especially for forecasting output growth, but financial spreads continue to have no or negligible marginal predictive content for both output growth and inflation. Overall, our results confirm that there is no ready-to-use financial spread that can replace an encompassing multivariate model for the prediction of target variables in the euro area.