Chaotic behavior in national stock market indices: New evidence from the close returns test

Attempts have been made to detect chaotic behaviour in financial markets data using techniques which require large, clean data sets. Although such data are common in the physical sciences where these tests were developed, financial returns data typically do not conform. The close returns test is a recent innovation in the literature and is better suited to testing for chaos in financial markets. This paper tests for the presence of chaos in a wide range of major national stock market indices using the close returns test. The results indicate that the data are not chaotic, although considerable nonlinearities are present. The commonly used BDS test is also applied to the data and, in comparison, the close returns test provides substantially more evidence of nonlinearity compared to the BDS test.     

An examination of nonlinear dependence in exchange rates,using recent methods from chaos theory

Interest in the relevance of nonlinear dynamics to finance and economics has spurred the evolution of new ways to analyze time series data. Tests for chaos, based on a metric approach which measures spatial correlations, led to the development of the correlation dimension test for chaos and the BDS test for nonlinearity. More recently, a topological method has been introduced into the scientific literature which employs a simple qualitative test for chaos that is adaptable to the characteristics of financial data. A quantitative version is also presented here. Conflicting evidence exists about the presence of chaotic behavior in exchange-rate data. The qualitative topological test does not support evidence of a chaotic generating mechanism in these series. The quantitative form finds nonlinear dependence and is a useful diagnostic to determine the adequacy of ARCH-type models for this nonlinear structure.     

Intraday Seasonalities and Macroeconomic News Announcements

Using a data set consisting of more than five years of 5‐minute intraday stock index returns for major European stock indices and US macroeconomic surprises, conditional means and volatility behaviour in European markets were investigated. The findings suggest that the opening of the US stock market significantly raises the level of volatility in Europe, all markets responding in an identical fashion. Furthermore, US macroeconomic surprises exert an immediate and major impact on both the European stock markets’ intraday returns and volatilities. Thus, high frequency data appear to be critical for the identification of news impacting the markets.     

Liquidity and CDS premiums on European companies around the Subprime crisis

This paper sheds new light on the liquidity dynamics of the credit default swaps (CDS) market in Europe around the Subprime crisis. Based on an original dataset of 94 European companies from 2005 to 2009, we use a panel regression analysis to study the relationship between CDS premiums and liquidity. We measure the level of liquidity, look at liquidity risk, and study the liquidity spillovers from the bond and equity markets to the CDS market. We show that the effect of liquidity on CDS premiums is dominated by the influence of worsening credit conditions and deteriorating investors?? expectations about default risk. Controlling for credit risk, we also find that liquidity risk is priced in the European CDS market and that liquidity spillovers from the bond market matter in determining CDS premiums.     

Emerging Markets and Stock Market Bubbles: Nonlinear Speculation?

Daily returns of stock markets in emerging markets in Asia, Africa, South America, and Eastern Europe from the early 1990s through 2006 are analyzed for the possible presence of nonlinear speculative bubbles. The absence of these is tested for by studying residuals of vector autoregressive-based fundamentals, using the Hamilton regimeswitching model and the rescaled range analysis of Hurst. For the first test, absence of bubbles is rejected for twenty-four countries (except Mexico, Sri Lanka, and Taiwan); for the second test, it is rejected for twenty-six countries (except Malaysia). BDS testing on these residuals after autoregressive conditional heteroskedasticity (ARCH) effects are removed fails to reject further nonlinearity (except for Israel). Policy issues are discussed, noting that what is appropriate varies from country to country and time period to time period.     

Sovereign risk spillovers: A network approach

Understanding the global financial network for sovereign debt, particularly with a focus on interaction and spillover effects of sovereign risk, has become important for policy makers as they look to protect the stability of their economies. Using high dimensional Vector Autoregression techniques and network simulation on Sovereign Credit Default Swaps (CDS)’ data of 57 countries, we identify that the global sovereign CDS network is fully integrated as there is virtually no country without any connection to at least one specific node in the system. However, each country has a unique attribute in the network, as a risk exporter or importer and/or risk transmitter. Among developed countries, the US (unsurprisingly) holds the dominant position as a risk exporter while Germany is identified as a connecting country that transmits shocks. The most connected countries in the sovereign CDS network belong to the new European Union members. We examine possible drivers of the network relationships observed, in order to better understand the risk transmission process, and find that connections in the sovereign risk network are stronger within regional groups and countries with the same level of economic development. Central and Eastern Europe and Middle East and Africa have more interactive networks than Northern Western Europe, Asia Pacific and Latin America. We also identify that financial volatility and economic policy uncertainty increase the interactions in market-based default risk assessment.     

Regime dependent determinants of credit default swap spreads

Credit default swap (CDS) spreads display pronounced regime specific behaviour. A Markov switching model of the determinants of changes in the iTraxx Europe indices demonstrates that they are extremely sensitive to stock volatility during periods of CDS market turbulence. But in ordinary market circumstances CDS spreads are more sensitive to stock returns than they are to stock volatility. Equity hedge ratios are three or four times larger during the turbulent period, which explains why previous research on single-regime models finds stock positions to be ineffective hedges for default swaps. Interest rate movements do not affect the financial sector iTraxx indices and they only have a significant effect on the other indices when the spreads are not excessively volatile. Raising interest rates may decrease the probability of credit spreads entering a volatile period.     

美欧金融危机中CDS泡沫形成的原因与影响以及相关风险管理问题的思考

2007年以来的国际金融危机中，大规模的CDS合约交易起到了推波助澜的作用，放大了实际风险。然而，也不能完全否定CDS产品在促进金融衍生品市场繁荣，尤其是有效对冲风险中的重要作用。目前，国内已出现了引入CDS的相关研究。本文以欧美危机为鉴，就完善COS市场监管，以及国内引入CDS类似的产品后如何把握好金融监管与市场繁荣之间的平衡进行了相关思考，以期及早进行相应的制度设计，实现市场的良性发展。     

Nonlinearity and Low Deterministic Chaotic Behavior in Insurance Portfolio Stock Returns

This article presents new empirical evidence indicating a deterministic component in the portfolio return dynamics of life‐health and property‐liability insurance company stocks. Our research is motivated by the fact that nonlinearities are a fact of economic life for many financial applications the source of which is logically apparent, yet empirical evidence of their existence is at best weak. The primary reason attributed to the weak findings of nonlinearities reported in previous research is the use of aggregate data that can hide nonlinearities at the micro level. Insurance sector stock returns are analyzed because unique institutional characteristics indicate the possibility of identifying nonlinear dynamics. Tests based on the correlation dimension partially confirm the presence of nonlinearity. However, the more powerful Brock, Dechert, and Scheinkman (BDS) statistic strongly suggests the presence of nonlinearities in the insurance stock portfolio data. The BDS statistic applied to the standardized residuals of exponential generalized auto regressive conditional heteroskedasticity (EGARCH) models strongly rejects the null of independent and identically distributed, indicating that conditional heteroskedasticity is not responsible for the presence of the nonlinear structures in the data. In addition, tests for chaos based on locally weighted regressions indicate that insurance stock portfolio returns indicate low‐complexity chaotic behavior. This is an important result since most previous research has failed to report evidence of chaotic behavior in the time series of stock returns. Important contributions of this article are the application of tests of nonlinearities and chaos to more desegregated data sets and the findings of statistically significant evidence indicating nonlinearities and low‐deterministic chaotic behavior in insurance stock portfolio returns.     

The Co‐movement of Credit Default Swap,Bond and Stock Markets: an Empirical Analysis

We analyse the relationship between credit default swap (CDS), bond and stock markets during 2000–2002. Focusing on the intertemporal co‐movement, we examine monthly, weekly and daily lead‐lag relationships in a vector autoregressive model and the adjustment between markets caused by cointegration. First, we find that stock returns lead CDS and bond spread changes. Second, CDS spread changes Granger cause bond spread changes for a higher number of firms than vice versa. Third, the CDS market is more sensitive to the stock market than the bond market and the strength of the co‐movement increases the lower the credit quality and the larger the bond issues. Finally, the CDS market contributes more to price discovery than the bond market and this effect is stronger for US than for European firms.     

The impact and the contagion effect of natural disasters on sovereign credit risk. An empirical investigation

This paper investigates the relationship between natural disasters and the reaction of sovereign CDS spread in Europe. By applying an event study methodology during the period January 2007–December 2021 on an original database in which we identify 92 natural disasters in 17 European countries, we assess the reaction of the sovereign CDS market to a natural disaster. We find a heterogeneous response of the European sovereign risk to a natural disaster, as the response of the sovereign CDS market differs from region to region. The advent of a natural disaster can increase inequality between the regions due to the higher cost of credit for sovereigns and the reduced scope for manoeuvring public finances. Also, the results of the contagion effect confirm the hypothesis of a cross-border propagation effect, as natural disaster, in general, is not local event but spreads to other countries.     

Contagion inside the credit default swaps market: The case of the GM and Ford crisis in 2005

We study the General Motors (GM) and Ford crisis in 2005 in order to determine if the credit default swap (CDS) market is subject to contagion effects. Has the crisis spread to the whole (CDS) market? To answer this question, we study the correlations between CDS premia, by using a sample of 226 CDSs on major US and European firms. We do evidence a significant rise in correlations during the crisis episode, but little “shift-contagion” as defined by Forbes and Rigobon (2002). When using dynamic measures of correlations (EWMA and DCC-GARCH), we also show that correlations significantly increased during the crisis, especially in the first week.     

Crossborder financial contagion to Germany: How important are OTC dealers?

We examine crossborder contagion from a number of financial systems to the German financial system using the information content of CDS prices in a GARCH model. After controlling for common factors which may cause comovement in security prices, we find evidence for contagion from the US and European financial systems. Assessing contagion for dealer and non-dealer banks suggests that contagion from dealer banks is the most prominent source of contagion to the German financial system. While German non-dealer banks are affected both by European and US dealers, only US dealer banks have a contagion effect to German dealer banks.     

Does the European Financial Stability Facility Bail Out Sovereigns or Banks? An Event Study

On May 9, 2010 euro zone countries announced the creation of the European Financial Stability Facility. This paper investigates the impact of this announcement on bank share prices, bank credit default swap (CDS) spreads, and sovereign CDS spreads. The main private beneficiaries were bank creditors. Furthermore, countries with banking systems heavily exposed to southern Europe and Ireland benefited, as evidenced by lower sovereign CDS spreads. The combined gains of bank debt holders and shareholders exceed the increase in the value of their banks’ sovereign debt exposures, suggesting that banks saw their contingent claim on the financial safety net increase in value.     

关于“裸卖空”和“CDS裸卖空”的经济分析及启示

金融危机后,欧美监管当局针对证券市场裸卖空和CDS裸卖空制定了包括短期禁令在内的各种新政策。这些新政使得相关问题再度引起热议。本文针对这一热点,在理清卖空、证券市场裸卖空以及CDS裸卖空概念的基础上,指出了CDS裸卖空与证券市场裸卖空在众多方面存在的本质性区别。与此同时,文章对欧美监管当局关于卖空和裸卖空的监管政策演变和最新动态进行了简要介绍。最后,文章还总结了欧美监管当局的相关新政对我国发展金融市场的启示。     

What Determines IPO Gross Spreads in Europe?

This paper examines the behaviour of underwriting gross spreads in European IPO markets using a data set of 565 IPOs by European issuers in the period 1986–99. Privatisations have lower gross spreads than other IPOs, other things remaining equal. Gross spreads on European listings by European issuers are significantly lower than on US listings by European issuers, except on the technology stock–oriented EASDAQ and Frankfurt Neuer Markt exchanges. IPOs involving a US bulge bracket underwriter (for joint US/Europe listings) or bookbuilding are characterised by relatively higher spreads.     

Are CDS spreads predictable? An analysis of linear and non-linear forecasting models

This paper investigates the forecasting performance for CDS spreads of both linear and non-linear models by analysing the iTraxx Europe index during the financial crisis period which began in mid-2007. The statistical and economic significance of the models' forecasts are evaluated by employing various metrics and trading strategies, respectively. Although these models provide good in-sample performances, we find that the non-linear Markov switching models underperform linear models out-of-sample. In general, our results show some evidence of predictability of iTraxx index spreads. Linear models, in particular, generate positive Sharpe ratios for some of the strategies implemented, thus shedding some doubts on the efficiency of the European CDS index market.     

Detecting Linear and Nonlinear Dependence in Stock Returns: New Methods Derived from Chaos Theory

Interest in the relevance of nonlinear dynamics to fields such as finance and economics has spurred the development of new methods of analysis for time series data. Early tests for chaos led to problems when applied to financial and economic data. This motivated development of the BDS family of statistics to test for nonlinearity generally. More recently, another method of analysis has been introduced into the scientific literature. It uses a test for chaos which is relatively simple and appropriate for financial data. A quantitative version of this test is developed here and is used to analyze stock return data.     

Transmission of the financial and sovereign debt crises to the EMU: Stock prices,CDS spreads and exchange rates

This paper tests for the transmission of the 2007–2010 financial and sovereign debt crises to fifteen EMU countries. We use daily data from 2003 to 2010 on country financial and non-financial stock market indexes to analyze the stock market returns for three country groups within EMU: North, South and Small. The following results hold for both the North and South European countries, while the smallest countries seem to be relatively isolated from international events. First, we find strong evidence of crisis transmission to European non-financials from US non-financials, but not for financials. Second, in order to test how the sovereign debt crisis affects stock market developments we split the crisis in pre- and post-Lehman sub periods. Results show that financials become significantly more dependent on changes in the difference between the Greek and German CDS spreads after Lehman’s collapse, compared to the pre-Lehman sub period. However, this increase is much smaller for non-financials. Third, before the crisis euro appreciations coincide with European stock market decreases, whereas this relationship reverses during the crisis. Finally, this reversal seems to be triggered by Lehman’s collapse.     

Dynamic credit default swap curves in a network topology

Systemically important banks are connected and their default probabilities have dynamic dependencies. An extraction of default factors from cross-sectional credit default swap (CDS) curves allows us to analyze the shape and the dynamics of default probabilities. In extending the Dynamic Nelson Siegel (DNS) model to an across firm multivariate setting, and employing the generalized variance decomposition of Diebold and Yilmaz [On the network topology of variance decompositions: Measuring the connectedness of financial firms. J. Econom., 2014, 182(1), 119–134], we are able to establish a DNS network topology. Its geometry yields a platform to analyze the interconnectedness of long-, middle- and short-term default factors in a dynamic fashion and to forecast the CDS curves. Our analysis concentrates on 10 financial institutions with CDS curves comprising of a wide range of time-to-maturities. The extracted level factor representing long-term default risk shows a higher level of total connectedness than those derived for short-term and middle-term default risk, respectively. US banks contributed more to the long-term default spillover before 2012, whereas European banks were major default transmitters during and after the European debt crisis, both in the long-term and short-term. The comparison of the network DNS model with alternatives proposed in the literature indicates that our approach yields superior forecast properties of CDS curves.