Corporate credit,stock price inflation and economic fluctuations

This study analyses the empirical interaction between real corporate credit, real income, real stock prices, the short-term interest rate and inflation for the Netherlands and the USA. The framework is based on a five-variable structural vector error correction model which identifies the permanent and temporary shocks within the system. Erratic shocks in the real amount of corporate credit and in stock prices could potentially have some impact on inflation in the case of the USA and on real output in the Netherlands. However, the structural VAR analysis also shows that the above-mentioned erratic shocks only explain a small proportion of the variation in inflation and economic activity, and inflation objective shifts and supply side shocks are much more important determinants for economic fluctuations.     

A credit market in early stages of economic development

Even if the relatively rich and the poor are initially caught in a poverty trap, the relatively rich can escape poverty by receiving payments from the poor. Further accumulation of wealth by the rich allows the poor to escape poverty.     

The supply- and demand-side impacts of credit market information

We utilize a unique pair of experiments to isolate the ways in which reductions in asymmetric information alter credit market outcomes. A Guatemalan microfinance lender gradually started using a credit bureau across its branches without letting borrowers know about it. One year later, we ran a large randomized credit information course that described the existence and workings of the bureau to the clients of this lender. This pairing of natural and randomized experiments allows us to separately identify how new information enters on the supply and the demand sides of the market. Our results indicate that the credit bureau generated large efficiency gains for the lender, and that these gains were augmented when borrowers understood the rules of the game. The credit bureau rewarded good borrowers but penalized weaker ones, increasing economic differentiation.     

Informal sector: The credit market channel

We build a model of firms' choice between formality and informality. Complying with costly registration procedures allows the firms to benefit from key public goods, enforcement of property rights and contracts, that make the participation in the formal credit market possible. In a moral hazard framework with credit rationing, their decision is shaped by the interaction between the cost of entry into formality, and the relative efficiency of formal versus informal credit mechanisms and their related institutional arrangements. The model is consistent with existing stylized facts on the determinants of informality.     

Informal sector: The credit market channel

We build a model of firms' choice between formality and informality. Complying with costly registration procedures allows the firms to benefit from key public goods, enforcement of property rights and contracts, that make the participation in the formal credit market possible. In a moral hazard framework with credit rationing, their decision is shaped by the interaction between the cost of entry into formality, and the relative efficiency of formal versus informal credit mechanisms and their related institutional arrangements. The model is consistent with existing stylized facts on the determinants of informality.     

The theory of economic price and quantity indicators

Summary. This paper develops the theory of economic price and quantity indicators, being the difference analogue of indexes. The properties of indicators and indexes are compared. Observable bounds for the indicators will be derived, as well as two exactness results for Bennet (1920)-type price and quantity indicators.Received: 3 January 2002, Revised: 2 December 2002, JEL Classification Numbers: C43Previous versions of this paper were presented at the Economic Measurement Group Workshop 2001, School of Economics, University of New South Wales, Sydney, 30 March 2001, and at a seminar at the School of Economics, University of New England, Armidale NSW, 7 September 2001. The authors thank Erwin Diewert for helpful comments on a previous version. The views expressed in this paper do not necessarily reflect any policy of Statistics Netherlands.     

Equity market information and credit risk signaling: A quantile cointegrating regression approach

Investigating linkages between credit and equity markets, we consider daily aggregate U.S. CDS spreads as well as well-chosen equity market and implied volatility indexes over ten years. We describe such robust (to spurious correlation) relationship with the quantile cointegrating regression approach. Such approach handles extreme quantiles/CDS values and their behavior with respect to the equity market's influence. Heteroskedastic patterns such as time-varying variance, but also autocorrelation, skewness and leptokurtosis are captured. Thus, the sensitivity of aggregate CDS spreads to equity market price and volatility channels is accurately measured across quantiles and spreads. Such quantile-dependent sensitivity exhibits asymmetric responses to equity market shocks. A sub-period analysis investigates potential regime shifts in estimated quantile cointegrating regressions. Quantile cointegrating coefficients vary over time and quantiles, and exhibit different magnitudes across sub-periods and spreads. Therefore, the relationship is unstable over time. We also propose a scenario analysis and risk signaling application for credit risk management prospects. Under specific risk levels, credit risky situations are described conditional on the equity market's information over time, and related expected aggregate CDS spreads are computed. Estimated conditional quantiles/CDS spreads act as credit alert triggers.     

Housing price fluctuations and financial risk transmission: a spatial economic model

Financial risk derived from housing price fluctuations in China garnered much public concern recently. Based on the theoretical analyses of the transmission of financial risk from housing price fluctuations, this paper establishes panel spatial Durbin models to empirically analyse housing price fluctuations and financial risks transmission from a spatial economic perspective. Employing the panel provincial data from 1999–2015, we conduct an analysis on the 30 provinces in China as well as a comparison among the Eastern, Middle and Western regions of China. The results indicate that: (1) The soaring housing prices driven by bank credit, real estate developers’ heavy investment, local governments’ land revenue and individuals and households demands leads to financial risk in various sectors; (2) due to the ‘substitution effect’, the capital agglomeration in metropolis from bank credits, real estate developers, and individuals and households furthers the amassment of financial risks; (3) housing prices have a significant spatial contagion effect throughout the country, and financial risk could directly transmit across provinces through housing price fluctuations; (4) financial risks could indirectly transmit across provinces via the ‘imitative behaviour’ or ‘driving effect’ of different sectors for different regions of China.     

Linking global economic dynamics to a South African-specific credit risk correlation model

In order to address practical questions in credit portfolio management it is necessary to link the cyclical or systematic components of firm credit risk with the firm's own idiosyncratic credit risk as well as the systematic credit risk component of every other exposure in the portfolio. This paper builds on the methodology proposed by Pesaran, Schuermann, and Weiner [Pesaran, M.H., Schuermann, T., and Weiner, S.M., (2004), Modeling regional interdependencies using a global error correcting macroeconometric model, Journal of Business and Economic Statistics, 22, 2, 129–169.] and supplemented by Pesaran, Schuermann, Treutler and Weiner [Pesaran, M.H., Schuermann, T., Treutler, B., and Weiner, S.M., (2006), Macroeconomic dynamics and credit risk: a global perspective, Journal of Money, Credit, and Banking, Volume 38, Number 5, August 2006, 1211–1261.] which has made a significant advance in credit risk modelling in that it avoids the use of proprietary balance sheet and distance-to-default data, focusing on credit ratings which are more freely available.In this paper a country-specific macroeconometric risk-driver engine which is compatible with and could feed into the GVAR model and framework of PSW (2004) is constructed, using vector error-correcting (VECM) techniques. This allows conditional loss estimation of a South African-specific credit portfolio but also opens the door for credit portfolio modelling on a global scale, as such a model can easily be linked to the GVAR model. The set of domestic factors is extended beyond those used in PSW (2004) in such a way that the risk-driver model is applicable for both retail and corporate credit risk. As such, the model can be applied to a total bank balance sheet, incorporating the correlation and diversification between both retail and corporate credit exposures.Assuming statistical over-identification restrictions, the results indicate that it is possible to construct a South African component for the GVAR model that can easily be integrated into the global component. From a practical application perspective the framework and model is particularly appealing since it can be used as a theoretically consistent correlation model within a South African-specific credit portfolio management tool.     

The source of global stock market risk: A viewpoint of economic policy uncertainty

This study explores the effect of economic policy uncertainty (EPU) in four countries or regions (China, Japan, Europe, and the United States) on the contagion risk of investments in the global stock market. The stock returns of 22 stock markets worldwide are analyzed to determine which region’s EPU exhibits the greatest effect on regional systematic risk in the global stock market and on volatility risk in individual stock markets. First, all of the samples, the markets of different continents and the spillover indices of the developed and emerging markets, are calculated to observe the dynamic correlation among these markets with the aim of quantifying regional systematic risk and further examining the contagion risk effect of EPU. The results indicate the following: EPU in China is the most influential, and its contagion risk spreads to different regional markets, except for Europe; the effect of EPU in the United States is inferior to that in China; EPU in Japan merely influences contagion risk in emerging markets; contagion risk in European markets is not influenced by the four EPU indices; and EPU in Europe is not influenced by contagion risk in the global stock market. However, according to the volatility risk in each market, the EPU in Europe and China respectively influence Asian countries and European countries the most. These results may be attributable to the extremely high trade dependence among these countries because the performance of international enterprises is mainly determined by the economic policies of their trading partners.     

Production response to price risk and market liberalization of Nigerian major agricultural crops

This study models supply response for major agricultural crops in Nigeria which include the standard arguments and price risk. The data comes from Central Bank of Nigeria annual reports and statement of account, National Bureau of Statistics＇ abstract of statistics and annual Agricultural survey manual. The data are analyzed using autoregressive distributed lag and cointegration and error correction models. The results indicate that producers are responsive not only to price but also to price risk and exchange rate.     

The price of size and financial market allocations

A positive equilibrium price of size exists when size is a scarce productive resource. This paper articulates a costly-state-verification model of financial contracting with heterogeneous lender sizes. We find that in a non-rationing direct lending equilibrium, (1) Financial contract is nonlinear in that expected rates of return on loans increase with loan sizes; (2) Endogenous asset indivisibility arises; (3) The total social surplus under a nonlinear contract is less than that under a linear structure; (4) Average debt size affects the market value of a firm. We also extend analysis to the case of credit rationing and financial intermediation.I thank James A. Mirrlees, Yi Jin, Charles Ka Yui Leung, and seminar participants in the 2004 Royal Economic Society Conference and the Chinese University of Hong Kong for helpful comments. Suggestions from Stephen D. Williamson (the co-eidtor) and an anonymous referee are especially acknowledged.     

Stock and credit market expansion and economic development in emerging markets: further evidence utilizing cointegration analysis

This paper empirically investigates the relationship between equity and credit market development and economic growth, in a sample of five very important ‘emerging’ markets. In particular, employing a multivariate time-series methodology to test for long-run trends and causality between variables that proxy for stock market development, credit market development and economic development. The results seem to suggest that equity markets have a role to play only in relatively liberalized economies, like Chile and Mexico. In financially repressed economies, like India, the equity market does not affect real sector growth. Furthermore, the banking crises in the 1980s and 1990s in Chile and Mexico resulted in a negative relation between economic growth and the credit market. In South Korea, equity and credit markets both affect economic growth, but not vice versa. In countries where the nature of the stock market has been speculative, like Taiwan, a negative relationship is detected between equity market development and economic development.     

The interdependence of global oil price,China's stock price and economic policy uncertainty

This investigation examines the interaction among global oil price (OP), China's stock price (SP) and China's economic policy uncertainty (EPU) during the period of 2005:01 and 2017:12. A rolling window Toda‐Yamamoto causality method shows a complex time‐varying relationship. Bilateral causalities between these variables mostly accompany by sharp fluctuations in global or China's economy. Taking into account the inherent consistency of this time‐varying relation, the causal steps approach shows EPU follows a partial but time‐varying mediator process during crisis periods, which suggests EPU is one of mediator variables in this transmission mechanism. The mediator role of EPU in the transmission mechanism of OP and SP has not been paid enough attention before. Our findings provide a new direction for investors from the perspective of policy changes to deal with risks caused by OP and SP fluctuations especially when the financial market experiencing huge fluctuations.     

Volatility spillovers and the price of risk: Evidence from the Swiss stock market

This paper investigates the behavior of the risk premium on the Swiss stock market. The risk premium consists of two components, which are estimated separately: the amount of volatility and the unit price of risk. By estimating a bivariate GARCH-M model the volatility of the Swiss market is found to be strongly exposed to spillovers from the other major financial markets. To estimate the unit price of risk a Kalman filter procedure is employed, which allows for variability in this variable. Investors place a high price on risk, when the market is considered `expensive'. First version received: March 1998/final version received: July 1998     

The asymmetric information and price manipulation in stock market

The interaction between asymmetrically informed traders has been mostly investigated in theoretical frameworks. Not only there are relatively few empirical studies but, if any, the mostly focus on cross-sectional analysis and use very short samples. In this study, we blend theoretic with empirical, and propose a new signalling system of turning points in the economy to examine the extent of volatility of these markets relative to their tranquil periods. The signalling system proposed here is based on the Markov-switching model. Differing from the existing literatures, the study employs three phases and time-varying transition probability, and captures the states of volatility. After examining the causality between high volatility and foreign portfolio investment (FPI) by using moving average and generalized autoregressive conditional heteroskedasticity, the portfolio's profitability of FPI and individual investors in different periods are compared. Finally, the investigation of FPI's leading effect is studied.     

The price analysis of Chinese high-speed economic growth

Accelerating economic development in various countries today is the common demands. In the past 20 years, China created an economic development miracle, but also highlighted the depletion of resources, the deterioration of ecological, unfair distribution, the income gap and other social issues. The article analyses the causes of the price and the countermeasures.     

Oil price risk in the Spanish stock market: An industry perspective

This study examines the sensitivity of the Spanish stock market at the industry level to movements in oil prices over the period 1993–2010, paying special attention to the presence of endogenously determined structural changes in the relationship between oil price changes and industry equity returns. The empirical results show that the degree of oil price exposure of Spanish industries is rather limited, although significant differences are found across industries. The oil price sensitivity is very weak in the 1990s, a period of fairly stable and low oil prices. Instead, the link between crude oil and stock prices seems to have increased during the 2000s, becoming primarily positive. This evidence highlights the key role played by aggregate demand-side oil price shocks associated with the global real economic activity in the link between oil price fluctuations and the Spanish stock market.     

The effects of intelligence on price discovery and market efficiency

The influence of speculation on market performance has long been discussed. Under the framework of bounded rationality in which traders are endowed with different intelligence levels in terms of different learning styles or different representations of intelligence, we examine the effects of traders’ intelligence on price discovery based on “intraday” data, and market efficiency. We find that intelligence does help improve market performance. However, the influence of different intelligence levels on the market crucially depends on the characteristics of learning styles or the representation of intelligence.     

Spillover across Eurozone credit market sectors and determinants

We examine spillover and its determinants among Eurozone sector level credit markets using time and frequency domain spillover approaches. Based on network theory and connectedness analysis, we identify the sectors that are major transmitters and receivers of spillover during normal and crisis periods. The rolling window analysis shows that short-run spillover among credit market sectors intensifies during global and Eurozone crisis periods. Further, using Bayesian model averaging, we find that overall financial conditions and stock market volatility are the main drivers of total and sector-level spillover. Our findings have important implications for policymakers and investors interested in Euro-area credit risk at the sector level.