Determinants of the components of bid-ask spreads on stocks

In this paper we show that George et al. (GKN, 1991) estimators of the adverse selection and order processing cost components of the bid-ask spread are biased due to intertemporal variations in the bid-ask spread. We use alternative estimators that correct this bias and that are applicable to individual securities, and estimate these cost components empirically using data on NYSE/AMEX stocks. As expected, our results indicate that on average adverse selection costs account for approximately 50% of the bid-ask spread, sharply higher than the estimates of 8-10% obtained by GKN for NASDAQ stocks and 21% that we obtain for NYSE/AMEX stocks using GKN's estimators. We then conduct cross-sectional regressions designed primarily to determine whether adverse selection costs vary across specialists after controlling for firm size and other factors. Consistent with previously established hypotheses, we find that adverse-selection costs vary across specialists, and that this variation is related to the number of securities that the specialist handles.     

Explaining co-movements between stock markets: The case of US and Germany

We explain co-movements between stock markets by explicitly considering the distinction between interdependence and contagion. We propose and implement a full-information approach on data for US and Germany to provide answers to the following questions:

(i) Is there long-term interdependence between US and German stock markets?

(ii) Is there short-term interdependence and contagion between US and German stock markets, i.e. do short-term fluctuations of the US share prices spill over to German share prices and is such co-movement unstable over high-volatility episodes?

Our answers are, respectively, no to the first question and yes to the second one.     

Credit and liquidity components of corporate CDS spreads

This paper investigates the role of credit and liquidity factors in explaining corporate CDS price changes during normal and crisis periods. We find that liquidity risk is more important than firm-specific credit risk regardless of market conditions. Moreover, in the period prior to the recent “Great Recession” credit risk plays no role in explaining CDS price changes. The dominance of liquidity effects casts serious doubts on the relevance of CDS price changes as an indicator of default risk dynamics. Our results show how multiple liquidity factors including firm specific and aggregate liquidity proxies as well as an asymmetric information measure are critical determinants of CDS price variations. In particular, the impact of informed traders on the CDS price increases when markets are characterised by higher uncertainty, which supports concerns of insider trading during the crisis.     

Minimum price variations, discrete bid-ask spreads, and quotation sizes

Exchange minimum price variation regulation's create discretebid-ask spreads. If the minimum quotable spread exceeds thespread that otherwise would be quoted, spreads will be wideand the number of shares offered at the bid and ask may be large.A cross-sectional discrete spread model is estimated by usingintraday stock quotation spread frequencies. The results areused to project 1/16 spread usage frequencies given a 1/16-tick.Projected changes in quotation sizes and in trade volumes areobtained from regression models. For stocks priced under 10,the models predict spreads would decrease 38 percent, quotationsizes would decrease 16 percent, and daily volume would increase34 percent.     

Accounting-based versus market-based cross-sectional models of CDS spreads

Models of financial distress rely primarily on accounting-based information (e.g. [Altman, E., 1968. Financial ratios, discriminant analysis and the prediction of corporate bankruptcy. Journal of Finance 23, 589–609; Ohlson, J., 1980. Financial ratios and the probabilistic prediction of bankruptcy. Journal of Accounting Research 19, 109–131]) or market-based information (e.g. [Merton, R.C., 1974. On the pricing of corporate debt: The risk structure of interest rates. Journal of Finance 29, 449–470]). In this paper, we provide evidence on the relative performance of these two classes of models. Using a sample of 2860 quarterly CDS spreads we find that a model of distress using accounting metrics performs comparably to market-based structural models of default. Moreover, a model using both sources of information performs better than either of the two models. Overall, our results suggest that both sources of information (accounting- and market-based) are complementary in pricing distress.     

The electronic trading systems and bid-ask spreads in the foreign exchange market

This paper examines the impact of electronic trading systems on the bid-ask spreads in the foreign exchange market. The paper finds: first, the EBS reduces spreads significantly; second, the EBS is more influential than the Reuters system for the currency pair DEM/USD; third, dealers with information advantage tend to quote relatively wider spreads with the new systems; fourth, geographical differences in market liquidity are reduced through the new systems, and finally, the effects occur immediately and persist in the long-term. Thus, both proposed positive and negative impacts of the electronic systems are found to be true in this paper, but our findings also suggest that positive effects dominate and the electronic systems overall increase FX market liquidity.     

Disentangling contagion among sovereign CDS spreads during the European debt crisis

During the last crisis, developed economies' sovereign credit default swap (hereafter CDS) premia have gained in importance as a tool for approximating credit risk. In this paper, we fit a dynamic factor model to decompose the sovereign CDS spreads of ten OECD economies into three components: a common factor, a second factor driven by European peripheral countries and an idiosyncratic component. We use this decomposition to propose a novel methodology based on the real-time estimates of the model to characterize contagion among the ten series. Our procedure allows the country that triggers contagion in each period, which can be any peripheral economy, to be disentangled. According to our findings, since the onset of the sovereign debt crisis, contagion has played a non-negligible role in the European peripheral countries, which confirms the existence of significant financial linkages between these economies.     

The determinants of CDS spreads: evidence from the model space

We apply Bayesian model averaging and a frequentistic model space analysis to assess the pricing determinants of credit default swaps (CDSs). Our study focuses on the complete model space of plausible models and thus supports ultimate robustness. Using a large dataset of CDS contracts we find that CDS price dynamics can be mainly explained by factors describing firms’ sensitivity to extreme market movements. More precisely, our results suggest that dynamic copula based measures of tail dependence incorporate most essential pricing information, making other potential determinants such as Merton-type factors or linear variables measuring the systematic market evolution negligible.     

The transformation of banking: Tying loan interest rates to borrowers' CDS spreads

We investigate how the introduction of market-based pricing, the practice of tying loan interest rates to credit default swaps, has affected bank financing. We find that market-based pricing is associated with lower interest rates, both at origination and during the life of the loan. Our results also indicate that banks simplify the covenant structure of market-based pricing loans, suggesting that the decline in the cost of bank debt is explained, at least in part, by a reduction in monitoring costs. Market-based pricing, therefore, besides reducing the cost of bank debt, may also have adverse consequences resulting from the decline in bank monitoring.