Currency Crises, Monetary Policy and Corporate Balance Sheets

Abstract. This paper studies how the exposure of a country's corporate sector to interest rate and exchange rate changes affects the probability of a currency crisis. To analyze this question, we present a model that defines currency crises as situations in which the costs of maintaining a fixed exchange rate exceed the costs of abandonment. The results show that a higher exposure to interest rate changes increases the probability of crisis through an increased need for output loss compensation and an increased efficacy of monetary policy in stimulating output. A higher exposure to exchange rate changes also increases the need for output loss compensation. However, it lowers the efficacy of monetary policy in stimulating output through the adverse balance sheet effects of exchange rate depreciation. As a result, its effect on the probability of crisis is ambiguous.     

Implementing optimal monetary policy: Objectives and rules

The inconsistency of optimal policy comes from inconsistency between the social loss function and the economic structure. Accordingly, this paper designs a central bank loss function, which proves consistent with the economic structure. Under the designed central bank loss function discretionary policy proves optimal for social welfare. Optimal discretionary policy emerges because the implied behavioral equation is identical with that under commitment to the social loss function. Consequently, this paper also designs policy rules. To some extent, policy rules appear more basic, flexible, and operational than social and central bank loss functions, but the social loss function serves as an ultimate objective and the central bank loss function explicitly identifies the attainable targets and appropriate weight to achieve the social optimum.     

Determining the appropriate deflation of nominal magnitudes in the UK consumption function: a non-nested test approach

This paper is concerned with the deflator(s) used to obtain series measured in real terms in ‘the’ consumption function. Since the precise deflator(s) to be used in any particular specification is not uniquely determined by theoretical considerations alone we consider ways of approaching the issue empirically. The starting point is to rearrange any given specification of ‘the’ consumption function so that a nominal consumption variable is explained. This implies that different deflators for consumption, and other variables in the initial specification which are expressed in real terms, define non-nested models. We therefore examine the issue of the appropriate method of deflation used non-nested tests. We consider the Davidson, Hendry, Srba and Yeo specification of the quarterly UK non-durable consumption function and find that the preferred method of deflating consumption and income variables is to use the total (durable and non-durable) consumption deflator. We also examine the quarterly UK consumption function of Carruth and Henley, based on the work Hendry and Von Ungern-Sternberg. In this case a prefered deflator does not emerge from the alternatives considered. We conclude by noting that the approach adopted in this paper should be useful in areas other than the consumption function literature.     

Should monetary policy lean against the wind? Simulations based on a DSGE model with an occasionally binding credit constraint

In this research paper, we extend the model constructed by Gambacorta and Signoretti (2014) by introducing an occasionally binding credit constraint based on a penalty function approach in line with Brzoza-Brzezina, Kolasa, and Makarski (2015) to study the performance of the Taylor rule augmented with asset prices. First, we compare the properties of the baseline model and its modified version. Then, we use both models to study the performance of the basic and extended Taylor rule. The performance of Taylor rules is examined under the optimisation of a central bank's loss function and the welfare maximisation of economic agents. The analysis delivers the following results. The model with an occasionally binding credit constraint has more favourable properties regarding the hump-shaped and asymmetric impulse responses compared to an eternally binding credit constraint model. The best rule regarding the lowest value of the central banks' loss function proves to be the rule augmented with asset prices. The optimal reactions are, however, shock- and model-dependent, and therefore, any rule-like behaviour does not seem to be appropriate. The welfare maximisation under the occasionally binding credit constraint model reveals that reacting to asset prices might not be welfare-improving for both types of economic agents – households and entrepreneurs. This result is in contradiction with the implications achieved under the eternally binding credit constraint model.     

Re‐vitalizing money demand in the Euro area. Still valid at the zero‐lower bound

The analysis of monetary developments has always been a cornerstone of the ECB's monetary analysis and, thus, of its overall monetary policy strategy. In this respect, money demand models provide a framework for explaining monetary developments and assessing price stability over the medium term. It is a well‐documented fact in the literature that, when interest rates are at the zero‐lower bound, the analysis of money stocks become even more important for monetary policy. Therefore, this paper re‐investigates the stability properties of M3 demand in the euro area in the light of the recent economic crisis. A cointegration analysis is performed over the sample period 1983 Q1 and 2015 Q1 and leads to a well‐identified model comprising real money balances, income, the long‐term interest rate and the own rate of M3 holdings. The specification appears to be robust against the Lucas critique of a policy dependent parameter regime, in the sense that no signs of breaks can be found when interest rates reach the zero‐lower bound. Furthermore, deviations of M3 from its equilibrium level do not point to substantial inflation pressure at the end of the sample. Excess liquidity models turn out to outperform the autoregressive benchmark, as they deliver more accurate CPI inflation forecasts, especially at the longer horizons. The inclusion of unconventional monetary policy measures does not contradict these findings.     

Robust control and central banking behaviour

This paper seeks to explain the recent behaviour of the two main central banks in the recent financial crisis, applying a robust control tool through a Neo-Keynesian monetary policy model. The direct forbearer of this paper is the Giordani and Söderlind (2004) study. It begins with the origin, purpose and theoretical grounds of robust control, indicating that it is one way to face model uncertainty, as an alternative to the Bayesian approach. In the middle section, we seek to obtain the course of the model's main variables: interest rates, inflation and output. The model constructor also wants the participating agents to have the same doubts that he has regarding its validity; therefore, robust control is considered as a “fine-tuning” of the rational expectations approach. The impulse-response functions are obtained, with the monetary authority acting as a Stackelberg-type leader, affected by a perturbation on the supply side. The two relevant equilibria are obtained and compared in robust control with dynamic economy (the reference equilibrium and the worst possible case equilibrium) with that obtained when operating with rational expectations. The alternative course for the reference model set forth in the paper by Dennis (2008) is also analysed. We mainly find that the different results depend on the behaviour of the law of motion of the state variables, specifically the shadow prices that influence the private sector's expectations. Lastly, the paper relates the recent monetary policy performance when facing the financial crisis that began in the summer of 2007.     

How do central banks react to wealth composition and asset prices?

We assess the response of monetary policy to developments in asset markets in the euro area, the US and the UK. We estimate the reaction of monetary policy to wealth composition and asset prices using: (i) a linear framework based on a fully simultaneous system approach in a Bayesian environment; and (ii) a nonlinear specification that relies on a smooth transition regression model.     

“Price Levels and Economic Growth: Making Sense of Revisions to Data on Real Incomes”: A Comment

In his recent paper, Ravallion (2013) proposes a new method to predict changes in purchasing power parities (PPPs), arguing that a model that includes economic growth and exchange rate movements is superior to the standard approach of using inflation differences. In this comment, I argue that his test is wrong and I show that with a correct specification of the test, there is no robust and stable relationship between changes in PPPs and economic growth while the usefulness of the standard approach is confirmed. I also suggest an approach that could be more helpful to understand changes in PPPs.     

A corporate balance-sheet approach to currency crises

This paper presents a general equilibrium currency crisis model of the ‘third generation’, in which the possibility of currency crises is driven by the interplay between private firms’ credit-constraints and nominal price rigidities. Despite our emphasis on microfoundations, the model remains sufficiently simple that the policy analysis can be conducted graphically. The analysis hinges on four main features (i) ex post deviations from purchasing power parity; (ii) credit constraints a la Bernanke-Gertler; (iii) foreign currency borrowing by domestic firms; (iv) a competitive banking sector lending to firms and holding reserves and a monetary policy conducted either through open market operations or short-term lending facilities. We derive sufficient conditions for the existence of a sunspot equilibrium with currency crises. We show that an interest rate increase intended to support the currency in a crisis may not be effective, but that a relaxation of short-term lending facilities can make this policy effective by attenuating the rise in interest rates relevant to firms.     

Model uncertainty in Panel Vector Autoregressive models

We develop methods for Bayesian model averaging (BMA) or selection (BMS) in Panel Vector Autoregressions (PVARs). Our approach allows us to select between or average over all possible combinations of restricted PVARs where the restrictions involve interdependencies between and heterogeneities across cross-sectional units. The resulting BMA framework can find a parsimonious PVAR specification, thus dealing with overparameterization concerns. We use these methods in an application involving the euro area sovereign debt crisis and show that our methods perform better than alternatives. Our findings contradict a simple view of the sovereign debt crisis which divides the euro zone into groups of core and peripheral countries and worries about financial contagion within the latter group.     

HOW HAS THE CRISIS OF 2008–09 AFFECTED SUBJECTIVE WELL‐BEING? EVIDENCE FROM 25 OECD COUNTRIES

This paper uses life satisfaction data of almost 140,000 individuals in 25 OECD countries to study how changes in the rates of GDP growth, unemployment, and inflation during the macroeconomic crisis of 2008–09 have affected subjective well‐being. The relative contributions of the three macroeconomic variables to individuals’ life satisfaction are used to assess how each country performed on balance during the crisis. This approach follows a recent trend of using subjective well‐being data for monitoring economic performance and for policy appraisal. We find that in the countries most strongly affected by the crisis, the effects on an average citizen's well‐being may be of a similar magnitude as the effects of the most serious personal life events. The main driver of these effects is the drop in GDP, whose impact is aggravated by the increase of unemployment. Though the inflation rate went down in several of the countries, the effect was too weak to significantly reduce the negative effect of the changes in GDP and unemployment. The results show that GDP fluctuations are important drivers of subjective well‐being.     

EXAMINING THE STABILITY OF OKUN'S COEFFICIENT

The stability of Okun's law coefficient in the United States from 1949 to 2015 is examined using a regression with GARCH errors in order to capture the volatility of the series. Rolling estimations suggest that taking the volatility of the series into account yields more stable results compared to the simple OLS estimation, irrespective of the specification (gap or growth model), the data frequency (monthly or quarterly), or the length of the rolling window. The results also suggest that the persistence of shocks became much more important in explaining contemporaneous volatility when data from the recent global financial crisis were incorporated. In contrast, the feedthrough of output shocks in next period's output volatility was more important in the past, and especially during the 1970s stagflation period, but has been declining since.     

Doubts or variability?

Reinterpreting most of the market price of risk as a price of model uncertainty eradicates a link between asset prices and measures of the welfare costs of aggregate fluctuations that was proposed by Hansen, Sargent, and Tallarini [17], Tallarini [30], Alvarez and Jermann [1]. Prices of model uncertainty contain information about the benefits of removing model uncertainty, not the consumption fluctuations that Lucas [22] and [23] studied. A max-min expected utility theory lets us reinterpret Tallarini's risk-aversion parameter as measuring a representative consumer's doubts about the model specification. We use model detection instead of risk-aversion experiments to calibrate that parameter. Plausible values of detection error probabilities give prices of model uncertainty that approach the Hansen and Jagannathan [11] bounds. Fixed detection error probabilities give rise to virtually identical asset prices as well as virtually identical costs of model uncertainty for Tallarini's two models of consumption growth.     

Household debt,macroprudential rules,and monetary policy

Today's Canadian economy features a historic high of household debt and persistently low growth rate. The average debt-to-GDP ratio has reached the level experienced in the U.S. just prior to the recent financial crisis. In this paper, we ask whether monetary policy should lean against the household indebtedness or macroprudential policies are better suited for the task. To provide a quantitative answer, we develop a small open economy dynamic stochastic general equilibrium model featuring a micro-founded banking sector. We estimate the model using Canadian data and conduct policy experiments. Our findings favor macroprudential approach to reining in indebtedness: using monetary policy that reacts to household debt increases inflation volatility and lowers borrowers' welfare, while using macroprudential policies such as lowering the loan-to-value ratio limit increases borrowers' welfare.     

Information Technology As A Factor Of Production: The Role Of Differences Among Firms

Despite evidence that information technology (IT) has recently become a productive investment for a large cross-section of firms, a number of questions remain. Some of these issues can be addressed by extending the basic production function approach that was applied in earlier work. Specifically, in this short paper we: 1) control for individual firm differences in productivity by employing a ‘firm effects’ specification, 2) consider the more flexible translog specification instead of only the Cobb-Douglas specification, and 3) allow all parameters to vary between various subsectors of the economy.

We find that while ‘firm effects’ may account for as much as half of the productivity benefits imputed to IT in earlier studies, the elasticity of IT remains positive and statistically significant. We also find that the estimates of IT elasticity and marginal product are little-changed when the less restrictive translog production function is employed. Finally, we find only limited evidence of differences in IT's marginal product between manufacturing and services and between the ‘measurable’ and ‘unmeasurable’ sectors of the economy. Surprisingly, we find that the marginal product of IT is at least as high in firms that did not grow during 1988–1992 sample period as it is in firms that grew.     

Stock Market Fluctuations and Money Demand in Italy, 1913–2003

This paper examines the impact of stock market fluctuations on money demand in Italy from a long‐run perspective. The money demand function estimated by Muscatelli and Spinelli (2000) for a long time span is utilized as a benchmark, adding to the specification information on share prices from the Milan Stock Exchange Reform of 1913 to recent years. For a shorter time period (1938–2003), annual observations on stock market capitalization and turnover velocity are also considered. The empirical findings suggest that stock market fluctuations help to explain temporary movements in liquidity preference, rather than its secular patterns. Overall, a positive association emerges between an index of stock market prices that includes dividends and real money balances; however, the estimated long‐run relationship is unstable. In a dynamic, short‐term specification of money demand, the estimated coefficient of deflated stock prices is positive, and therefore compatible with a wealth effect, in the years 1913–1980, while in the last two decades a substitution effect has prevailed and the correlation between money and share prices has been negative. This is likely to reflect a change in financial structure and the increasing role of opportunity costs defined over a wider range of assets. These results are confirmed by data on stock market capitalization. Moreover, in the recent period, stock market turnover and money growth are positively correlated .     

Rational expectations in the foreign exchange market? Some survey evidence

Although many papers have already proposed empirical models of currency crises, the timing of such crises has received relatively little attention so far. Most papers use indeed a static specification and impose the same lag structure across all explanatory variables. This, by construction, prevents from specifically timing the crisis signals sent by the leading indicators. The objective here is to fill this gap by considering a set of dynamic discrete choice models. The first contribution is to identify how early in advance each explanatory variable sends a warning signal. Some indicators are found to signal a crisis in the very short run while others signal a crisis at more distant horizons. The second contribution is to show that state dependence matters, albeit mostly in the short run. The results have important implications for crisis prevention in terms of the timeliness and usefulness of the envisaged policy response.     

Overall effects of financial liberalization: financial crisis versus economic growth

ABSTRACT

The contribution of this work consists firstly in decomposing the effect of financial liberalization into a global direct positive effect on growth and an indirect negative effect via financial fragility and crisis. We show that the aggregate positive effect of financial liberalization outweighs the negative partial or temporary effect. Secondly, contrary to previous works, we distinguish many types of financial reforms. We found that equity market liberalization is the most important component in reducing economical costs associated with financial crisis. Thus, equity market liberalization is the most important favoring growth. Interest rate liberalization enhances significantly the probability of crisis leading to a short-run indirect effect more important than other financial reforms. Thirdly, we improved our work by addressing model uncertainty using Bayesian Model Averaging techniques to choose appropriate indicators for model crisis specification.