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.     

金融周期、全要素生产率与债券违约

基于宏微观结合的视角,本文首先从理论上阐释了金融周期和全要素生产率影响债券违约的机制,并基于我国A股非金融类上市公司发行的债券,进而实证检验了金融周期和全要素生产率对债券违约的影响。研究发现,金融周期和全要素生产率显著影响了债券违约发生概率,在金融周期顶部区域债券违约概率显著增加,全要素生产率越高的企业发生债券违约的概率越小。进一步的异质性分析表明,金融周期对周期性行业企业和非国有企业债券违约具有更高的平均边际影响。本文的政策启示为:要平衡好稳增长和防风险之间的关系,避免采取过度的经济刺激政策,在金融周期顶部期要采取以时间换空间的稳杠杆政策;要确保减税降费政策措施落地生根,加大对科技研发特别是基础研究平台的支持力度,促进企业提高全要素生产率。     

China’s Exports during the Global COVID-19 Pandemic

The global COVID-19 pandemic caused various economic contraction in most countries, including all of China’s major trading partners. Using a difference-in-differences model, this study examines the impact of the COVID-19 pandemic on China’s monthly exports from January 2019 to May 2020. We find strong and robust evidence that China’s exports to countries at high risk from the pandemic experienced a larger decline than exports to low-risk countries after the onset of the pandemic, with the prices of exports increasing significantly. Furthermore, the results of a triple differences model show heterogeneous effects across different industries and goods. Chinese industries located upstream in the global value chain are more vulnerable than those located downstream. Industries with high labor and contract intensity (proxies for processing trade) experienced greater declines than other industries. Exports of goods with high import elasticity of substitution experienced higher prices and moderate volume losses due to the pandemic.     

Trade and product market policies in upstream sectors and productivity in downstream sectors: Firm-level evidence from China

This paper explores the heterogeneous productivity impact of trade, product market and financial market policies over the last decade in China. The paper makes a critical distinction between downstream and upstream industries, focusing on the indirect effects of regulation in upstream industries on firm performance in downstream manufacturing industries. We identify the differential effect of these policies on firm productivity growth depending on how far incumbents are relative to the technological frontier. Trade and product market reforms are found to deliver stronger gains for firms that are closer to the industry-level technological frontier, while the reverse holds for financial market reforms. The key conclusion that can be derived from the empirical analysis is that further product, trade and financial market reforms would bring substantial gains in China and could therefore speed up the convergence process. Taken at face value, the empirical estimates would imply that aligning product, trade and financial market regulation to the average level observed in OECD countries would bring aggregate manufacturing productivity gains of respectively 9%, 3% and 6.5% after 5 years.     

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.     

The international risk sharing puzzle is at business cycle and lower frequency

Abstract We decompose the correlation between relative consumption and the real exchange rate in its dynamic components at different frequencies. Using multivariate spectral analysis techniques, we show that, at odds with a high degree of risk sharing, in most OECD countries the dynamic correlation tends to be quite negative, and significantly so, at frequencies lower than two years – the appropriate frequencies for assessing the performance of international business cycle models. Theoretically, we show that the dynamic correlation over different frequencies predicted by standard open economy models is the sum of two terms: a term constant across frequencies, which can be negative when uninsurable risk is large; a term variable across frequencies, which in bond economies is necessarily positive, reflecting the insurance intertemporal trade provides against forecastable contingencies. Numerical analysis suggests that leading mechanisms proposed by the literature to account for the puzzle are consistent with the evidence across the spectrum.     

Sovereign Default Risk and Recovery Rates: What Government Bond Markets Expect for Greece

Bond market data on sovereign bond yields is used to estimate sovereign default risk and the amount of the expected “hair‐cut” for Greece between 2008 and 2011. Using a structural pricing model that relies on compound option theory short‐term and long‐term default probabilities and their dependencies can be inferred. Thereby bond yield spreads for different maturities are integrated. In addition, a reduced form model is applied to infer the recovery rate expected by bond market participants. The paper shows that sovereign default risk and recovery rate dynamics reflect events that are important for Greece's repayment capacity.     

Productivity spillovers through backward linkages: The role of the origin of investors and absorptive capacity of domestic firms

We argue that multinationals from different home countries have different technologies and input sourcing behavior. These differences impinge on potential productivity spillovers through backward linkages of multinationals and such effects also differ across host local firms depending on their absorptive capacity. Using a panel of Cameroonian manufacturing firms over the period 1993 to 2005, we find supportive evidence of these arguments. There is a negative relationship between the presence of American and European affiliates in downstream sectors and the productivity of Cameroonian firms in the supplying industries and a positive correlation in the case of Asian affiliates. The absorptive capacity of Cameroonian firms mainly explains these divergent results.     

STOCK‐BOND CO‐MOVEMENTS AND FLIGHT‐TO‐QUALITY IN G7 COUNTRIES: A TIME‐FREQUENCY ANALYSIS

This paper examines co‐movement between stock returns and changes in 10‐year government bond yields as well as flight‐to‐quality behaviour in G7 countries. We conduct the wavelet squared coherence analysis to explore the dynamics in both time and frequency domain. Our results provide evidence of positive co‐movements, which vary over time and across investment horizon. The higher co‐movement is found to be more concentrated in the lower frequency bands. We further analyse the dynamic nature of the scale‐dependent wavelet correlations and find that the correlations are highly volatile and significantly increase across different time scales during the episodes of equity market turbulence. The increase in correlations reflects flights from stocks to safer bond investments as a result of dramatic changes in investor sentiment and risk aversion at times of market stress.     

Breakeven inflation rates and their puzzling correlation relationships

It is generally assumed that the two Fisher components of the interest rate – the real interest and the inflation – evolve independently over time, considering that they are driven by unrelated economical events. However, the market pricing of those components deduced from newly-available bond data does not provide conclusive evidence. While studying the price behaviour of inflation-linked (real) bonds beside nominal bonds in the major fixed-income markets, we observe that the Real Bond Yields (RBY) and the yield differentials, the Breakeven Inflation Rates (BEIR), have the propensity to be positively correlated between each other across the various countries, yet are pushed into a negative correlation relationship due to market-related price distortions. As long as those distortions are local, the net result is near-zero correlation within countries; when they become global, as in the heat of the current crisis, the correlations turn negative worldwide. In this article insight is gained by taking an innovative worldwide study approach and thanks to revealing crisis period events.     

The Interactions between the Credit Default Swap and the Bond Markets in Financial Turmoil

We analyse the links between credit default swap (CDS) and bond spreads in order to determine which one is the leading market in the price discovery process. To do that, we construct a sample of CDS premia and bond spreads on a generic 5‐year bond for 17 financials and 18 sovereigns. First, we run panel vector error correction model estimations, showing that the CDS market has a lead over the bond market for financial institutions. This also holds for high‐yield sovereigns, whereas the reverse is found for low‐yield sovereigns in the core of the euro area. We interpret these results according to the relative liquidity of both markets for different types of entities. Second, we check for nonlinearities in the adjustment process. Results show that the CDS market's lead is amplified when default risk increases, during crisis periods, as well as continuously when CDS premia increase.     

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.     

The domino effect of credit defaults: test of asymmetric default correlations using realised default data

Using the research framework of a domino effect in firms, we first make theoretical contributions by addressing several testable hypotheses regarding asymmetrical default correlations. We then employ Lucas’s method to provide empirical evidence based on realised historical default data in the United States from 1992 to 2013. Our empirical results are consistent with the following notions. First, default correlations increase with the time horizon. Second, firms with low credit quality, small size, illiquidity, and a high beta exhibit higher default correlations. Credit risk management without considering asymmetrical default correlations could underestimate portfolio risk due to default clustering.     

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.     

Trade Liberalisation of Intermediate Inputs

This paper considers the effects of tariff cuts in the intermediate inputs market. Traditional trade theories predict that upstream industries would contract and downstream industries would expand. In contrast, new trade theories show that trade liberalisation of the intermediate inputs market may expand both upstream and downstream industries.     

GROWTH,INTER‐INDUSTRY AND INTRA‐INDUSTRY COMPETITION AND WELFARE*

In this paper we introduce strategic interaction between firms in an R&D growth model which captures both the intra‐industry competition between firms operating within an industry and the inter‐industry competition between firms in different industries. We show that the more substitutable the goods produced within each industry (across industries) are, that is, the more intense the intra‐industry (inter‐industry) competition, the higher is the growth rate. In the comparison between social optimum and a decentralized economy, it is shown that the market outcome is characterized by inefficiently high entry of firms within each industry and insufficient productivity growth.     

An Extended Analytical Approach to Credit Risk Management

Among the 'reduced form models' for measuring the credit risk of a bank's portfolio is CreditRisk+, which provides a closed–form solution for calculating the portfolio loss distribution based on an actuarial approach. The limitations of this model are well known, but they are often misinterpreted as being deeply embedded within the model. Dismantling the mathematical components of the model allows one to modify and extend it in several ways while remaining within an analytical approach. One of the most unattractive features is the orthogonality of the background factors or sectors as it hinders any resemblance to real–world macroeconomic indexes or industrial sectors and geographical areas. Among other extensions, which we mention briefly, we present in more detail how the original model can be amended to consider correlations among default risk sectors and among severity risk segments. These extensions are applied to real–life data, based on mortality rate data produced by the Italian Central Bank.
(J.E.L.: C00, C51).     

Technological spillover through industrial and regional linkages: Firm-level evidence from China

This paper provides new insights into the study of technology spillover effects through the interaction between industrial and spatial linkages. We develop a theoretical model that provides a useful modeling framework for spillover research, and then empirically test the model inferences using Chinese firm-level data. Input-output tables and spatial decay measurements are combined to construct the key spillover variables. Using seemingly unrelated regressions, the paper finds that vertical spillover effects are more significant than horizontal spillover effects, both within- and between-regions; regional characteristics have greater impacts on vertical spillovers than on horizontal spillovers; and regional spillover effects vary across different regions. Regional policies and regional endowments, including human capital, transportation infrastructure, and enterprise ownership, are crucial in explaining these heterogeneities in regional technology spillover. Our empirical results provide many policy implications including strengthening the connection between upstream and downstream industries and devoting more R&D to upstream industries.     

Does FDI Facilitate Domestic Entry? Evidence from the Czech Republic

This paper analyzes the impact of FDI on domestic firm entry and firm size distributions in the Czech Republic during 1994–2000. We find that larger foreign presence stimulates the entry of domestic firms within the same industry, indicating the existence of positive horizontal spillovers from FDI. We also find evidence of significant vertical entry spillovers—FDI in downstream (upstream) industries initiates entry in upstream (downstream) sectors. Our results also show that entry spillovers through vertical linkages are stronger than horizontal spillovers and that while service industries benefit from both horizontal and vertical spillovers, manufacturing industries do not experience significant positive entry spillovers of any kind. We also find that country of origin of FDI matters—horizontal spillovers are driven by FDI from the EU countries. The right skewness of the firm size distributions in industries without FDI further emphasizes an important role of FDI presence for overall industry dynamics.     

Franchise fee,contract bargaining,and economic growth

This paper combines the industrial organization (IO) theory and the R&D-based endogenous growth theory in a model of a successive imperfect competitive economy. The current study assumes that firms between upstream and downstream industries bargain over both the price of intermediate goods and the franchise fee. Findings show that the intermediate goods firm with a R&D sector charges the price equal to the marginal cost. Economic rent may also be partly transferred into the franchise fee determined by the relative bargaining power. In particular, the traditional double marginalization result, such as in Spengler (1950), does not take place here due to the above-mentioned bargaining scheme. Finally, this work shows that final goods firms in vertically linked industries play an important role in an economic growth model. The more bargaining power the final goods firms have (or the more returns to specialization upstream firms have, or the less substitution elasticity the final goods have), the more the economy grows. However, the consumer preference for diversity seemingly does not affect economic growth rate.