Central bank forecasts and private expectations: An empirical assessment from three emerging economies

As part of their monetary policy strategy, many central banks are attempting to manage private sector expectations about key macroeconomic variables. In this article, we investigate whether forecasts provided by central banks in three inflation targeting emerging economies (Brazil, Mexico, and Poland) affect the expectations of private forecasters. In particular, we analyze whether the disagreement between the central bank and private sector forecasts applies to explain changes in private sector expectations regarding inflation and economic growth. The findings show that while central bank forecasts are higher than those made by private sector forecasters, the result is an update upwards of private forecasts and that this effect is stronger for GDP growth forecasts than for inflation forecasts.     

International cross-listing and stock market development in emerging economies

Why have emerging equity markets grown so rapidly since 1990? First, it is shown how international cross-listings can transform a segmented local equity market from an equilibrium of low liquidity and market capitalization to an integrated market with high liquidity and market capitalization by altering the incentives of companies and individuals to participate in the market. Second, benefits of international cross-listings for domestic stock market development and welfare across emerging equity markets are found to be negatively related to both the degree of correlation between the domestic and world equity market and the relative size of the domestic equity market. Third, the price impact of international listing is shown to depend on the liquidity conditions in the domestic market prior to listing.     

ARDL bounds tests and robust inference for the long run relationship between real stock returns and inflation in Australia

This paper conducts an empirical investigation into the long run relationship between real stock returns and inflation in Australia by employing the ARDL bounds tests. There exists a stock return–inflation long run relationship, and the long run parameters are non-linear functions of those of the conditional error correction model. The OLS estimates of the latter model constitute the long run parameter estimates and their standard errors are estimated by delta methods. The long run model estimates so constructed can be biassed and inconsistent, and the delta method is derived assuming asymptotic normality, which does not hold in this investigation. In this paper, to overcome these limitations of the traditional methods, we employ the bias-corrected bootstrap method. As a consequence, the robust and reliable statistical inference can be made on the long run return–inflation relationship. The empirical results show that the expected inflation had no significant effect on real stock returns, while the observed inflation had a significant and negative effect. Furthermore, the data generating process of the returns–inflation relationship was not affected by the change in monetary policy regime in the early 1990s. These findings imply that Australian stocks have been very effective instruments for hedging against expected inflation. Because of the resilience of Australian economy to the current global financial and economic crisis, this finding has implications for long term domestic and foreign investors in Australia.     

Central bank secrecy in the foreign exchange market

This paper argues that with sticky goods prices and a forward-looking exchange rate, the central bank will only want a partial dissemination of its information about shocks to the economy. It is shown that, in such a model, the central bank may prefer to intervene secretly in the foreign exchange markets when responding in anticipation of future shocks, but openly when reacting to current shocks. The model thus provides a rationale for secrecy in central bank foreign exchange operations. The model also elucidates the relationship between the signaling and portfolio balance channels of sterilized intervention.     

Foreign bank entry,bank efficiency and market power in Central and Eastern European Countries1

This article analyses the implications of the recently observed sharp expansion of foreign banks in the Central and Eastern European Countries (CEECs) as measured by equity ownership. We show that the mode of foreign entry has a pivotal impact on the post‐entry performance of banks in CEECs. Foreign greenfield banks are characterized by superior cost efficiency, compared with domestic and foreign‐acquired banks. The efficiency of foreign‐acquired banks deteriorates in the initial year of acquisition, but improves thereafter. Banks acquired by foreigners have less market power relative to domestic and foreign greenfield banks. Overall, the CEEC banking sectors have benefited from the increased foreign bank participation, both in terms of higher efficiency and more competition.     

Volatility spillovers of unconventional monetary policy to emerging market economies

Emerging market economies (EMEs) have experienced waves of market volatility since the global financial crisis, with some commentators ascribing this at least partly related to monetary policy decisions in advanced economies. This paper examines volatility spillovers from changes in the size of the balance sheets of the Federal Reserve (FED) and European Central Bank (ECB) to EMEs from 2003 to 2018. We find that volatility spillovers to EME currency markets are greater in magnitude from the FED, while EME stock and bond markets are also vulnerable to volatility spillovers in a similar magnitude from both the ECB and the FED. We find only limited evidence of volatility transmission to the real economy of EMEs following the monetary policy actions of the FED and ECB. Finally, we show that the proportion of the volatility in EMEs that is accounted for by changes in FED and ECB balance sheets shifts over time. Our paper has important policy implications for EMEs, notably in respect of volatility transmission channels.     

Central bank design with heterogeneous agents

We study alternative institutional arrangements for the determination of monetary policy in a general equilibrium model with heterogeneous agents, where monetary policy has redistributive effects. Inflation is determined by a policy board using either simple-majority voting, supermajority voting, or bargaining. We compare the equilibrium inflation rates to the first-best allocation.     

Investment in emerging market economies

This article empirically models investment in emerging economies. Using dynamic panel estimation methods and quarterly data for 31 emerging economies for the period 1990:1?C2008:3, we show that (i) the GDP and the cost of capital are the key fundamental determinants of investment; (ii) financial factors (such as equity prices, credit and lending rate) play a relevant role on the dynamics of investment, in particular, for Asian and Latin American countries; (iii) investment growth exhibits substantial persistence and (iv) crises episodes magnify the negative response of investment.     

Central bank independence and ageing

We contrast the influence of demography and Central Bank Independence (CBI) on inflation. The recent demographic trends in developed countries are shown to weight more on inflation than CBI, while the contrary stands for the period from 1960 to 1979.     

More effective than we thought: Central bank independence and inflation in developing countries

This study examines the effect of legal central bank independence on inflation in developing countries. In spite of the policy consensus suggesting that central bank independence is an effective tool to control inflation, the evidence is still limited, particularly for developing countries. Using a novel dataset, we analyze the effect of central bank independence on inflation for a sample of 118 developing countries between 1980 and 2013. We find that higher central bank independence is associated with lower inflation rates. This effect on inflation is stronger the more democratic a country is, but it is also present in non-democratic countries. Our results are robust to different specifications and methodologies. Furthermore, we find that all dimensions included in the measurement of central bank independence (objectives, personnel, policy, and financial independence) contribute to curb inflation. Our results shed light on which types of reforms may be more effective at fighting inflation in developing countries.     

Structural change and international stock market interdependence: Evidence from Asian emerging markets

This study investigates the evolving pattern of the interdependence among selected Asian emerging markets and three major stock markets (Japan, UK and US). Using rolling cointegration methods and the recently developed algorithms of inductive causation, we found that time-varying cointegration relationships exist among these stock markets. The results indicate that the wave of financial liberalization policies in the early 1990s led to a significant increase in market linkages which was later weakened during the 1997 Asian financial crisis. Furthermore, the data indicate that Japan and the US have the greatest influence on the emerging markets while the influence of Singapore and Thailand has increased since the Asian financial crisis.     

Stock returns and output growth in emerging and advanced economies

This paper studies the correlation between output growth and lagged stock returns in a panel of emerging market economies and advanced economies. It finds that the proportion of countries in which this correlation is significant is the same for emerging market economies as it is for advanced economies using yearly data, and somewhat lower using quarterly data. Asset prices therefore seem to contain valuable information to forecast output also in emerging market economies. Moreover, the paper finds that the strength of the correlation between output growth and lagged stock returns is significantly related to a number of stock market characteristics, such as a high market capitalization to GDP ratio and, less robustly, English legal origin and the number of listed domestic companies and initial public offerings.     

Maturity mismatch and financial crises: Evidence from emerging market corporations

Substantial attention has been paid in recent years to the risk of maturity mismatch in emerging markets. Although this risk is microeconomic in nature, the evidence advanced thus far has taken the form of macro correlations. We evaluate this mechanism empirically at the micro level by using a database of over 3000 publicly listed firms from fifteen emerging markets. We measure the risk of maturity mismatch by estimating, at the firm level, the effect on investment of the interaction of short-term exposure and aggregate capital flight. This effect is (statistically) zero, contrary to the prediction of the maturity-mismatch hypothesis. This conclusion is robust to using a variety of different estimators, alternative measures of capital flows, and controls for devaluation effects and access to international capital. We do find evidence that short-term-exposed firms pay higher financing costs, and have lower equity valuations, but not that this reduction in net worth translates into a drop in investment or sales.     

Financial globalization and debt maturity in emerging economies

This paper studies how financial globalization affects debt structure in emerging economies. We find that by accessing international markets, firms increase their long-term debt and extend their debt maturity. In contrast, with financial liberalization, long-term debt decreases and the maturity structure shifts to the short term for the average firm. These effects are stronger in economies with less developed domestic financial systems. The evidence is consistent with financial integration having opposite effects on the firms that are able to integrate with world markets and obtain financing globally, relative to the firms that rely on domestic financing only.     

Testing for nonlinearities in German bank stock returns

In this paper nonlinear structures in German bank stock returns are investigated in a stochastic modelling framework. In the first step we show the existence of a nonlinear return structure by means of the McLeod-Li and the BDS test. In the second step we focus our analysis on the kinds of nonlinearity actually present in bank stock data. On the basis of the Hsieh test it is possible to discriminate with high power additive from multiplicative dependencies to provide guidance for the choice of an adequate class of stochastic models. It is shown that the multiplicative dependencies predominating the bank stock returns can be captured by low order GARCH models.     

Inflation targeting in emerging economies: Panel evidence

This paper shows there is no evidence that the inflation targeting regime (IT) improves economic performance as measured by the behavior of inflation and output growth in developing countries. The control of common time effects results in less negative and less significant IT impacts on inflation, inflation volatility and output growth volatility than previously found in the literature. Additionally, our analysis shows robust evidence of lower output growth during IT adoption. On balance, although lower long-run mean inflation signals that the central banks of emerging economies with inflation targeting are more inflation-averse, the costs of disinflation have not been lower than under other monetary regimes.     

Determinants of stock market comovements among US and emerging economies during the US financial crisis

By analyzing the dynamic conditional correlations (DCC) of the daily stock returns of 10 emerging economies in comparison with those of the US for the period of 2006–2010, we find different patterns of crisis spillover among 10 emerging economies. While a group of countries has three distinctive phases of crisis spillover (contagion, herding, and post-crisis adjustment), other groups show different phases of crisis spillover. It is also shown that increases in CDS spread and TED spread decrease conditional correlations while increases in foreign institutional investment, exchange market volatility, and the VIX index of the S&P 500 increase conditional correlations.     

Monetary environments and stock returns revisited: A quantile regression approach

We investigate the impact of monetary conditions on stock market returns at different points on the return distributions. Our results reveal no association between stock returns and monetary environments at the lower quantiles. At the upper quantiles, however, we find that expansive monetary conditions lead to significantly larger stock returns. The relationship between returns and monetary conditions at the upper quantiles is also found to be asymmetric, exhibiting a monotonic increase in responsiveness at successive quantiles.     

Estimating monetary policy reaction functions for emerging market economies: The case of Brazil

The paper investigates monetary policy in Brazil following a shift to a floating exchange rate alongside inflation targeting adoption. The benchmark reaction function reveals that the Central Bank behaves according to the Taylor principle by raising the overnight Selic policy interest rate more than the amount by which expected inflation exceeds the target. The investigation also considers a data-rich environment via an excess policy response containing information from a panel of 45 economic time series. The excess policy response carries a positive and significant coefficient in the reaction function including only an inflation gap variable.     

Conditional volatility and correlations of weekly returns and the VaR analysis of 2008 stock market crash

Modelling of conditional volatilities and correlations across asset returns is an integral part of portfolio decision making and risk management. Over the past three decades there has been a trend towards increased asset return correlations across markets, a trend which has been accentuated during the recent financial crisis. We shall examine the nature of asset return correlations using weekly returns on futures markets and investigate the extent to which multivariate volatility models proposed in the literature can be used to formally characterize and quantify market risk. In particular, we ask how adequate these models are for modelling market risk at times of financial crisis. In doing so we consider a multivariate t version of the Gaussian dynamic conditional correlation (DCC) model proposed by Engle (2002), and show that the t-DCC model passes the usual diagnostic tests based on probability integral transforms, but fails the value at risk (VaR) based diagnostics when applied to the post 2007 period that includes the recent financial crisis.