Political credit cycles

This paper tests the existence of political credit cycles, the positive comovement between credit and elections. While several single‐country studies point to the existence of this relationship, the link between electoral cycles and credit expansion has seen little exploration at the multicountry level. Using a comprehensive dataset covering bank and non‐bank credit in 165 countries from 1960 to 2013, we show that both government and private credit significantly increase in election years. This finding suggests the possibility that politicians use not only fiscal and monetary policy to court voters, but also implement credit policies such as interest rate subsidies and tax breaks for debt to enhance credit growth. We also find that a higher degree of financial openness weakens the frequency and magnitude of political credit cycles; yet, the conditional effect of financial openness is stronger for developing countries than developed economies.     

Industry-level determinants of the linkage between credit and stock markets

This paper examines the relationship between US credit default swaps (CDS) and stock returns on an industry-wide basis across a number of investment horizons, with particular focus on the major determinants of such a relationship. Wavelet analysis is first applied to extract the CDS–stock wavelet correlation for each US industry. Then, Bayesian Model Averaging is employed to identify the key driving factors of the industry CDS–stock wavelet correlations at short- and long-term horizons. The empirical results indicate that the wavelet correlations between the industry CDS and stock returns are primarily negative over time and across time scales. Moreover, the CDS–stock correlation at longer horizons exhibits a much more stable pattern than its counterpart at shorter time frames. The results also demonstrate that the volatility of US Treasury and stock markets, as measured by the MOVE and VIX indices, respectively, the volatility of volatility, as captured by the VVIX index, and US economic policy uncertainty, as measured by the EPU index, are the most robust determinants of the correlation between CDS and stock returns at shorter and longer horizons for most US industries. In contrast, the Fama–French systematic equity factors exhibit a practically negligible explanatory power on the CDS–stock link.     

中国转型期的信贷波动与经济波动

本文基于1981-2002年的季度数据,考察了在经济转轨的不同阶段我国信贷波动的特征,并通过时差相关分析和Granger因果关系检验,分析了信贷波动与经济周期波动的相互关系.结果表明,总体上信贷波动与经济周期波动基本同步,信贷扩张和收缩是产生经济周期波动的显著影响因素,但这种影响从20世纪90年代中期开始有所下降,同时,信贷波动的内生性开始显现.     

Sectoral exports dynamics of Turkey: a panel co-integration analysis

This paper analyzes the role of unit labor costs and individual cost components in determining sectoral export dynamics and the change in the impact of these costs after the sequence of structural reforms in Turkey as of 2001. It employs a multivariate panel co-integration technique across 17 Turkish manufacturing sectors at different time periods. Results suggest that average elasticity changes not only between the time periods but also across the sectors. Cross-sectional elasticity differences are mostly attributable to the sectoral competitiveness and factor intensities.     

Great moderation or “Will o’ the Wisp”? A time–frequency decomposition of GDP for the US and UK

In this paper the relationship between the growth of real GDP components at different cycle lengths is explored in the frequency domain using discrete wavelet analysis. This analysis is done for both the US and the UK using quarterly data, and the results reveal interesting differences between the two countries. One of the key findings is that the “great moderation” shows up only at certain frequencies, and not in all components of real GDP. A second result is that the great moderation appears to have shifted cyclical power from shorter and business cycles to long cycles, which has important implications for both policy formulation and the probability of less frequent but more severe economic crises. We use these results to explain why the incidence of the great moderation has been so ephemeral across GDP components, countries and time periods. This also explains why it has been so hard to detect periods of moderation (or otherwise) reliably in the aggregate data.     

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.     

Systemic Characteristics of Financial Instability

I describe how in the new paradigm of a Competitive, Efficient, and Frictionless Economy (CEFE), introduced in Falahati (2019), macroeconomic imbalances with fluctuating levels of liquidity emerge endogenously. This provides a solid foundation for studying Minsky’s views on financial instability in an economy with a banking and risk-underwriting system. I identify an inverse relationship between liquidity premia and risk premia, which leads to endogenous risk-premium rating cycles, including credit-risk-premium rating cycles, and macroeconomic swings. Ceteris paribus, lower liquidity increases the prices of contracts covering risks (e.g., credit default swaps), whist it decreases prices of all other assets. The opposite occurs with higher liquidity. I analyze operations of banks, risk-underwriters, and the State/Central Bank, and present a new theory of banking which improves current understandings. This theory explains how a banking system uses the floating capital of the economy more efficiently, while it also generates greater systemic risks, compared to an economy without banks. I show how the banking system can induce macroeconomic booms and busts and generate endogenous asset price bubbles and bursts. I highlight other systemic problems of the economy and derive their implications for improving the financial management of the economy and its institutions.     

Cyclical industrial dynamics: The case of the global semiconductor industry

In this paper, we focus on firms' cyclical behavior in the global semiconductor industry. We demonstrate that these cyclical dynamics at the industry level differ from both the business cycles at the macro-economic level and the lengthy industrial technology life cycle. We discuss a range of possible causes of those cyclical industrial dynamics, including the general business cycles as well as industry-specific factors. Our study reports three stylized facts in relation to the cyclical industrial dynamics in the global semiconductor industry: first, the industry is more concentrated during the industry cycle downturns; second, the capital investment of the industry as a whole follows a ‘pro-cyclical’ pattern; and third, firms that pursued a ‘counter-cyclical’ capital investment strategy during the industry cycle downturn have reaped rewards during the subsequent cycle period. These facts suggest that cyclical industrial dynamics, especially the industry cycle downturns, play an important role in firm rivalry, strategic positioning and industrial growth.     

Credit Chains and Mortgage Crises

Here I examine a production economy with a financial sector that contains multiple layers of credit. The latter constitute credit chains that include a simple mortgage market. The focus is on the nature and contagion properties of credit chains in an economy where the financial sector plays a real allocating role, and agents have a serious choice of whether to default on mortgages or not. Multiple equilibria with different rates of default are observed, due to the presence of strategic complementarities. A liquidity crunch is associated with higher rates of default that can trigger a financial crisis as well as constrain the purchase of production factors, leading to reductions in welfare, together with potentially serious effects on real economic activity with the potential of causing deep and widespread recessions.     

Dynamic relationship between Turkey and European countries during the global financial crisis

This study examines the relationship between time-varying risk perceptions of investors towards major European countries and Turkey. In that manner, we first obtain the dynamic conditional correlations between the credit default spreads (CDSs) of Turkey and 13 European countries from September 2004 to April 2013. Next, we endogenously detect the shifts in these dynamic correlation levels using a penalized contrast methodology. Accordingly, we find positive level shifts in all correlations following the US crisis. The upward trend in all CDS correlations holds during the eurozone debt crisis, but positive changes in correlations are not flagged as level shifts by the model, except in a few cases. The results suggest that Turkey is not immune to global financial conditions and there is integration between Turkey and the major European economies in terms of risk perception after the global financial crisis.     

Relative underperformance Alla Turca

From 1960 to 2003, Turkey has underperformed relative to several Western economies, in terms of hours worked and output per hour. Our sectoral analysis illustrates two points. First, Turkey's large drop in hours is due to the fact that the substantial decline in agricultural hours has not been accompanied by a corresponding increase in nonagricultural market hours. Second, the sectoral composition of output is important for understanding Turkey's relatively weak rise in output per hour. We develop a simple model of structural transformation and home production to provide an account of Turkey's performance relative to the U.S. and Southern Europe. We find that the evolution of exogenous differences in sectoral productivity and taxes, between Turkey and the U.S., as well as Southern Europe, can account quantitatively for most of Turkey's relative underperformance to these regions.     

基于K-S检验与距离相关分析的网络借贷信用评价指标体系构建

网络借贷作为一种新型互联网金融模式,提升了金融资源使用效率,缓解了小企业融资难的困局。构建合理的网络借贷信用评价指标体系,从而对网络借贷的潜在风险及时甄别与预防,对互联网金融健康持续发展意义重大。本文根据K-S检验与距离相关分析相结合,筛选对借款客户违约状态甄别能力强的指标,建立了网络借贷信用评价指标体系,通过P2P网络借贷(peer to peer lending,个人对个人借贷)平台LendingClub交易数据进行实证研究,结果表明:不仅借款金额、借款利率等借款标的特征对借贷者违约具有显著相关性,借款者年龄等个人特征、借款者年收入等财务特征以及借款者违约次数等信用特征均对借贷者违约风险产生显著影响。投资者在出借资金时,往往青睐于已婚、年龄适中、具有一定工作经历、历史违约次数较少的借款人。因此,风险监管部门应构建网络借贷违约风险评估模型,对P2P平台进行风险监测,同时建立关键信息共享机制,融合多源数据,明确审查范围,实现P2P网络借贷行业健康有序发展。     

Oil prices and the macroeconomy reconsideration for Germany: Using continuous wavelet

The cross wavelet analysis is used in the study to decompose the time–frequency effects of oil price changes on the German macroeconomy. We argue that the relationship between oil prices and industrial production is ambiguous. Our results show that there are both phase and anti-phase relationships between oil price returns and inflation and in most of the cases inflation is the leading variable. Additional evidence shows that there is a huge inconsistency between the phase-difference of the return series of oil price and industrial production at the 12–16 month frequency bands but at the 16–24 month frequency bands, we find that oil price changes that have occurred during 1982–2009 were demand-driven. In a nutshell our results suggest that oil price changes that have occurred after 1994 were demand-driven and the volatility of the inflation rate started to decrease after the 1990s but the volatility of the industrial output growth rate started to decrease after the 2000s.     

Real earnings and business cycles: new evidence

In the time domain, the observed cyclical behavior of the real wage hides a range of economic influences that give rise to cycles of differing lengths and strengths. This may serve to produce a distorted picture of wage cyclicality. Here, we employ frequency domain methods that allow us to assess the relative contribution of cyclical frequency bands on real wage earnings. Earnings are decomposed into standard and overtime components. We also distinguish between consumption and production wages. Frequency domain analysis is carried out in relation to wages alone and to wages in relation to output and employment cycles. Our univariate analysis suggests that, in general, the dominant cycle followed by output, employment, real consumer and producer wages and their components is 5–7 years. Consistent with previous findings reported in the macro-level literature, our bi-variate results show that the various measures of the wage are generally not linked to the employment cycle. However, and in sharp contrast with previous macro-level studies we find strong procyclical links between the consumer wage and its overtime components and the output cycle, especially at the 5–7 years frequency.

Observed real wages are not constant over the cycle, but neither do they exhibit consistent pro- or counter-cyclical movements. This suggests that any attempt to assign systematic real wage movements a central role in an explanation of business cycles is doomed to failure. (lucas 1977)

     

Dynamic employment adjustments over business cycles

This paper uses U.S. monthly industrial production employment data between 1964 and 2000 to examine the dynamic labor adjustments of production workers and nonproduction workers in both the short and long-run. The results from the short-run analysis show that the dynamic adjustment of production workers is consistent with business cycles. However, the adjustment of nonproduction workers is relatively fixed, lags behind the shocks over business cycle changes, and exhibits the quasi-fixed factor property. In the long-run, we found that nonproduction workers and production workers are cointegrated indicating that the two series are in long-run equilibrium.First version received: March 2002/Final version received: November 2003We would like to thank James McClure, participants in the Economics Department seminar series at Ball State University, and an anonymous referee for their comments and suggestions.     

The time-varying characteristics of the Chinese financial cycle and impact from the United States

ABSTRACT

Although there have been many empirical studies about the financial cycle since the financial crisis of 2008, few have analysed the structural changes in the Chinese financial cycle over time. The Chinese financial development process is short, and it is difficult to obtain accurate results on the measurement of the financial cycle. Based on wavelet analysis, this paper analyzes the time-varying characteristics of the Chinese financial cycle and the relationship between the financial and business cycles. In addition, we measure the impact from the United States. This paper draws three conclusions. Firstly, in terms of the characteristics of cycles, the existence of Chinese business cycle and financial cycle is proved, while the credit cycle, leverage cycle, stock market cycle and property cycle are quite different. Specifically, China has a 5.8-year credit cycle, an 8-year stock market cycle, 3.4-year and 12-year business cycles and a 15-year leverage cycle. Secondly, the financial cycles can serve as leading indicators of the business cycle, though the relationships between them are change overtime. Finally, the United States has a significant impact on the Chinese financial cycle with a ‘decoupling-recoupling’ effect, which is mainly reflected in the leverage cycle and the stock market cycle.     

基于KMV模型的适用性研究与应用分析——以A股市场主要过剩产能行业为例

本文通过对2007年—2012年钢铁行业和水泥建材行业共45家上市公司的财务数据和股票历史信息的分析,基于KMV模型原理,通过使用Matlab、Excel等软件,实证分析了近几年来上述企业的违约距离,并探讨产能过剩和信用违约之间的关系。实证结果表明,KMV模型适用于钢铁行业和水泥建材行业的信用违约测度,结果符合经济运行形势;同时,上述行业产能过剩并不能直接解释以违约距离表征的公司信用违约风险。     

The vanishing role of money in the macro-economy: An empirical investigation for India

The recent de-emphasizing of the role of “money” in both theoretical macroeconomics as well as in the practical conduct of monetary policy sits uneasily with the idea that inflation is a monetary phenomenon. Empirical evidence has, however, been accumulating pointing to an important leading indicator role for money and credit aggregates with respect to long term inflationary trends. Such a role could arise from monetary aggregates furnishing a nominal anchor for inflationary expectations, from their influence on the term structure of interest rates and from their affecting transaction costs in markets. Our paper attempts to assess the informational content role of money in the Indian economy by a separation of these effects across time scales and frequency bands, using the techniques of wavelet analysis and band spectral analysis respectively. Our results indicate variability of causal relations across frequency ranges and time scales, as also occasional causal reversals.     

Measuring and Optimizing Portfolio Credit Risk: A Copula‐based Approach*

In this work, we present a methodology for measuring and optimizing the credit risk of a loan portfolio taking into account the non‐normality of the credit loss distribution. In particular, we aim at modelling accurately joint default events for credit assets. In order to achieve this goal, we build the loss distribution of the loan portfolio by Monte Carlo simulation. The times until default of each obligor in portfolio are simulated following a copula‐based approach. In particular, we study four different types of dependence structure for the credit assets in portfolio: the Gaussian copula, the Student's t‐copula, the grouped t‐copula and the Clayton n‐copula (or Cook–Johnson copula). Our aim is to assess the impact of each type of copula on the value of different portfolio risk measures, such as expected loss, maximum loss, credit value at risk and expected shortfall. In addition, we want to verify whether and how the optimal portfolio composition may change utilizing various types of copula for describing the default dependence structure. In order to optimize portfolio credit risk, we minimize the conditional value at risk, a risk measure both relevant and tractable, by solving a simple linear programming problem subject to the traditional constraints of balance, portfolio expected return and trading. The outcomes, in terms of optimal portfolio compositions, obtained assuming different default dependence structures are compared with each other. The solution of the risk minimization problem may suggest us how to restructure the inefficient loan portfolios in order to obtain their best risk/return profile. In the absence of a developed secondary market for loans, we may follow the investment strategies indicated by the solution vector by utilizing credit default swaps.     

Are adjustments in the default risk premium asymmetric?

This article employs threshold cointegration and error-correction models to the default risk premium. The approach allows asymmetry in the dynamic process that has not been captured in previous studies of corporate credit spreads. The results indicate that the adjustment process is asymmetric and would be beneficial to investors and macroeconomic forecasters as the default risk premium may signal future business cycles.