Multivariate Markov Switching Common Factor Models for the UK

We estimate a model that incorporates two key features of business cycles, comovement among economic variables and switching between regimes of boom and slump, to quarterly UK data for the last four decades. A common factor, interpreted as a composite indicator of coincident variables, and estimates of turning points from one regime to the other, are extracted from the data by using the Kalman filter and maximum likelihood estimation. Both comovement and regime switching are found to be important features of the UK business cycle. The composite indicator produces a sensible representation of the cycle and the estimated turning points agree fairly well with independently determined chronologies. These estimates are sharper than those produced by a univariate Markov switching model of GDP alone. A fairly typical stylized fact of business cycles is confirmed by this model – recessions are steeper and shorter than recoveries.     

Conditional Markov regime switching model applied to economic modelling

In this paper we discuss the calibration issues of regime switching models built on mean-reverting and local volatility processes combined with two Markov regime switching processes. In fact, the volatility structure of these models depends on a first exogenous Markov chain whereas the drift structure depends on a conditional Markov chain with respect to the first one. The structure is also assumed to be Markovian and both structure and regime are unobserved. Regarding this construction, we extend the classical Expectation–Maximization (EM) algorithm to be applied to our regime switching model. We apply it to economic data (Euro/Dollar (USD) foreign exchange rate and Brent oil price) to show that such modelling clearly identifies both mean reverting and volatility regime switches. Moreover, it allows us to make economic interpretations of this regime classification as in some financial crises or some economic policies.     

Bilateral counterparty risk valuation for credit default swap in a contagion model using Markov chain

The computation of the bilateral counterparty valuation adjustment for a credit default swap (CDS) contract is in effect the modeling of the default dependence among the investor, the protection seller, and the reference entity. We present a contagion model, where defaults of three parties are all driven by a common continuous-time Markov chain describing the macroeconomic conditions. We give the explicit formula for the bilateral credit valuation adjustment (CVA) of CDS and examine the effect of the regime switching on the CVA.     

Business cycle duration dependence and foreign recessions

This study revisits business cycle duration dependence in G7 countries by controlling for foreign recessions, defined as the number of other G7 countries in a recession. Estimates from regime switching logit models show that the monthly likelihood of ending an expansion roughly doubles for every extra G7 country in recession, but the end of foreign recessions do not affect the ending of recessions. They also show that recessions are duration dependent in all G7 countries, but expansions only in the United States and Germany. The economic importance of foreign recessions and duration in driving business cycle phase changes vary across countries.     

Can oil shocks explain asymmetries in the US Business Cycle?

We consider whether oil prices can account for business cycle asymmetries. We test for asymmetries based on the Markov switching autoregressive model popularized by Hamilton (1989), using the tests devised by Clements and Krolzig (2000). We find evidence against the conventional wisdom that recessions are more violent than expansions: while some part of the downturn in economic activity that characterises recessionary periods can be attributed to dramatic changes in the price of oil, post-War US economic growth is characterized by the steepness of expansions. First Version Received: December 2000/Final Version Received: September 2001     

Do financial distress and liquidity crises affect value and size premiums?

This study investigates the impact of liquidity crises on the relationship between stock (value and size) premiums and default risk in the US market. It first examines whether financial distress can explain value and size premiums, and then, subsequently, aims to determine whether liquidity crises increase the risk of value and size premium investment strategies. The study employs a time-varying approach and a sample of US stock returns for the period between January 1982 and March 2011, a period which includes the current liquidity crisis, so as to examine the relationship between default risk, liquidity crises and value and size premiums. The findings indicate that the default premium has explanatory power for value and size premiums, which affect firms with different characteristics. We also find that liquidity crises may actually increase the risks related to size and value premium strategies.     

Government response to increased demand for public services: The cyclicality of government health expenditures in the OECD

The more that health care expenditures are financed by general taxation, the greater the discretion governments are likely to exercise when timing increases in health care expenditures. Vote-maximising governments time increases in health care expenditures to occur in economic upturns, when voters are not as aware of the required increase in taxation. In recessions, they have an incentive to sustain expenditures on health care by diverting expenditures from other public expenditure programmes that voters perceive as low priority. In this way, government pursuit of a political agenda is likely to exert a systematic influence on the cyclicality of government expenditure. Predictions are tested with reference to the cyclicality of government health expenditures, for a sample of OECD countries from 2000 to 2012.     

CREDIBILITY, MACROECONOMIC FUNDAMENTALS AND MARKOV REGIME SWITCHES IN THE EMS

The main objective of this paper is to use the Markov regime‐switching modelling framework to describe and analyse the credibility of a number of countries participating in the European Monetary System during 1980–1998. Our credibility indicator, based on Hughes Hallet et al.'s (1997) methodology, is subject to discrete regime shifts and is made dependent on macroeconomic fundamentals. We carry out extensive testing to assess the specification of the Markov regime‐switching model and the potential existence of permanent breaks. A contribution of our paper is the specification of a multivariate Markov switching model that allows us to examine whether macroeconomic variables have asymmetric effects on credibility. Another contribution is the specification of a regime‐switching model with time‐varying transition probabilities, which enables us to determine whether changes in macroeconomic variables can trigger switches between the low and high credibility regimes. We find strong evidence of regime switching behaviour in all countries. Both the level of credibility and the transition probabilities display an asymmetric response to changes in macroeconomic variables, with the stance of fiscal policy exerting the most systematic influence in all countries.     

Does purchasing power parity hold sometimes? Regime switching in real exchange rates

Standard unit root tests are not very powerful in drawing conclusions regarding the validity of Purchasing Power Parity (PPP). Rather than asking whether PPP holds throughout the whole sample period, we examine, in this study, if PPP holds sometimes by employing Hamilton-type (1989) Markov regime switching models. When at least one of multiple regimes is stationary, PPP holds locally within the regime. There are indeed various reasons that we should expect that the persistence of real exchange rates changes over time. Employing five real exchange rates spanning more than 100 years, we find herein strong evidence that the strength of PPP varies during the sample periods and that there exist stationary regimes in which PPP holds. Throughout the article, we also make comparisons to previous Markov regime switching estimation results by Kanas (2006) on the same data series. The new Markov switching model selection criterion of Smith et al. (2006), which is devised especially for discriminating Markov regime switching models, unambiguously indicates a preference for the Hamilton-type Markov regime switching model employed in this study. We also find that the evidence for PPP is not much different across different nominal exchange rate arrangements.     

Do macroeconomic variables have regime-dependent effects on stock return dynamics? Evidence from the Markov regime switching model

The predictability of stock return dynamics is a topic discussed most frequently in empirical studies; however, no unanimous conclusion has yet been reached due to the ignorance of structural changes in stock price dynamics. This study applies various regime switching GJR-GARCH models to analyze the effects of macroeconomic variables (interest rate, dividend yield, and default premium) on stock return movements (including conditional mean, conditional variance, and transition probabilities) in the U.S. stock market, so as to clearly compare the predictive validity of stable and volatile states, as well as compare the in-sample and out-of-sample portfolio performance of regime switching models. The empirical results show that macro factors can affect the stock return dynamics through two different channels, and that the magnitude of their influences on returns and volatility is not constant. The effects of the three economic variables on returns are not time-invariant, but are closely related to stock market fluctuations, and the strength of predictability in a volatile regime is far greater than that in a stable regime. It is found that interest rate and dividend yield seem to play an important role in predicting conditional variance, and out-of-sample performance is largely eroded when the effects of these two factors on volatility are ignored. In addition, the three macro factors do not play any role in predicting transition probabilities.     

中国信贷投放对经济增长影响的实证研究

本文使用峰谷相关分析对我国的经济增长周期和信贷增长周期进行划分;使用普通线性回归模型和马尔科夫状态转移模型研究了信贷投放、通货膨胀在利率变化、经济增长周期处于上行阶段、人民币升值等不同时期对于经济增长的影响;使用状态空间模型分析了信贷投放分别通过投资渠道和消费渠道对于经济增长的促进效率。实证结果表明,信贷增长周期对于经济增长周期存在一定的顺周期性,信贷的投放效果存在非对称性,即存在“金融加速器”效应。信贷在温和通胀和人民币贬值时期对于经济增长有促进作用,但是对于消费存在明显的挤出效应。     

HETEROGENEITY IN REAL WAGE CYCLICALITY

This paper presents evidence that real wage cyclicality can be a particularly heterogeneous parameter, depending on different worker characteristics and also on the specific stage of the business cycle. Using matched employer–employee panel data for Portugal covering the period 1986–2004, real wages are shown to be considerably more procyclical during recessions than during expansions, resulting in relatively moderate overall levels of cyclicality (about −0.6). However, most of the procyclicality during downturns is shown to be driven by the younger employees, as older workers appear to be insulated from the business cycle. Moreover, movers between firms typically display higher cyclicality than workers that stay in the same firm, regardless of whether the latter move or not between job levels. Most results also hold when considering basic wages instead of total wages, except that the procyclicality of movers during downturns is substantially higher.     

Bad volatility is not always bad: evidence from the commodity markets

ABSTRACT

Using exchange-traded fund (ETF) options data, we examine the predictive power of variance risk premium on returns of four commodities: crude oil, natural gas, gold and silver. We also analyze the predictive power of upside and downside variance risk premiums using a decomposition model conditional on the direction of the underlying market movement. We find that both the undecomposed and decomposed variance risk premiums are able to predict commodity prices. The decomposed variance risk premiums, however, outperform the undecomposed premium. The importance of upside and downside variance risk premiums differs across markets, related to hedging demand. In energy markets, both upside and downside premiums have strong predictive power, while in precious metal markets, only the upside premium is predictive.     

Polarities between Naturalism and Non-Naturalism in Contemporary Economics: An Overview

We provide a dynamic model of banking competition, in which bounded rationality of some competitors explains how the credit cycle is intensified. We model the economic cycle following Tobias F. Rötheli (2012b), who argues that boundedly rational banks, in their Bayesian learning, overestimate the probability of success during booms and underestimate it during recessions. We obtain three main results. First, the model suggests that pessimism/underconfidence is not a powerful driver of credit cycles. Instead, it supports the conclusion that it is euphoria during large upswings that leads to the next crunch. Second, the dynamization of the model provides further insight into the way boundedly rational competition intensifies the credit cycle. Third, it additionally predicts that the effects of behavioral biases are more pervasive when the quality of the niche markets is lower.     

Moving toward risk-based deposit insurance premiums in the European Union: the case of Spain

This article provides a scenario-based analysis of how the European Union proposal for a new funding model for deposit insurance systems (DISs) would affect the Spanish banking sector. We examine the risk profiles of commercial banks, savings banks and credit cooperatives over the period 2007 to 2011 and compare the contributions to the deposit insurance fund (DIF) under the current flat-rate regime with those that would have occurred under the new risk-sensitive system. We find that a risk-based scheme could provide an incentive for sound management by reducing the premiums for credit institutions with better risk profiles. We also conclude that the proposed reform may help to mitigate the moral hazard associated with larger credit institutions.     

Output volatility in Australia

A number of papers have documented a significant decline in real GDP volatility in several major OECD economies. Some authors have presented evidence to suggest that this is the outcome of a one-off structural break from a high to low volatility state whilst others have estimated regime switching models that indicate low volatility regime states have dominated in recent years. This article provides further evidence on the general properties of output volatility for Australia, including evidence of a significant moderation in output volatility for the country that occurred in the early 1980s. Estimates of various GARCH models of real GDP growth are also provided to further examine shorter term volatility features of the Australian economy that are associated with its business-cycle. A regime shift dummy is maintained in all models of the conditional variance in order to account for the regime shift in volatility and evidence is found of significant business-cycle effects, including leverage effects and asymmetries that suggest recessions are times of higher output volatility than economic expansions. Overall, it is concluded that the so-called ‘Great Moderation’ in macroeconomic instability, as documented here for Australia, is a result of a myriad of economic, institutional and policymaking changes.     

An empirical study of credit shock transmission in a small open economy

In this paper, we identify and estimate the dynamic effects of foreign (US) and national (Canadian) credit shocks in a small open economy. We use standard credit spreads as proxies to the external finance premium. Our first result suggests that the US and Canadian credit spreads contain substantial forecasting power for several measures of the Canadian real economic activity, especially during the recent financial crisis and its aftermath. Secondly, an adverse US credit shock generates a significant and persistent economic slowdown in Canada: the national external finance premium rises immediately while interest rates, credit aggregates, output and employment indicators decline. Variance decomposition reveals that credit shocks have a sizeable effect on real activity measures, leading indicators and credit spreads. Yet, the unexpected shocks in domestic credit spreads are not able to generate any significant dynamic response of the real activity once we control for the US credit market conditions.     

Cyclical Dynamics of the Turkish Economy and the Stock Market

Abstract

We analyze the cyclical dynamics of the Turkish economy and the stock market as well as their interactions. We use hidden Markov models that are robust to parameter instability arising from major shifts in economic policy, which have been typically observed in the Turkish economy. These models provide estimates of turning points for the growth, business, and stock market cycles. We identify three states of growth cycles and two states of business cycles in Turkey characterized by different mean estimates. We find that the economy went through five recessions since 1987. Crises are characterized by sharp drops in economic activity and are preceded by slowdowns. These crises are typically followed by strong recoveries during which the economy grows above its long-run average rate. We show that the Turkish stock market goes through three regimes having distinct risk-return dynamics. Bear markets associated with negative returns precede every recession with an average lead time of three quarters, suggesting that the stock market may be a useful forward-looking indicator of the Turkish economy.     

Modified Quasi‐Likelihood Ratio Test for Regime Switching

In this paper we propose a modified quasi‐likelihood ratio test of the null hypothesis of one regime against the alternative of two regimes in Markov regime‐switching models. The asymptotic distribution of the proposed test statistic is a simple function of Gaussian random variables, and the inference is no more complicated than in the standard case. Our simulations show that the proposed test has good finite sample size and power that are comparable to the quasi‐likelihood ratio test of Cho and White. We apply our test to stock returns and Japanese policy functions.     

Testing volatility persistence on Markov switching stochastic volatility models

In the literature, some researchers found that the high persistence of the volatility can be caused by Markov regime switching. This concern can be reflected as a unit root problem on the basis of Markov switching models. In this paper, our main purpose is to provide a Bayesian unit root testing approach for Markov switching stochastic volatility (MSSV) models. We illustrate the developed approach using S&P 500 daily return covering the subprime crisis started in 2008.