Forecasting US bond default ratings allowing for previous and initial state dependence in an ordered probit model

In this paper we investigate the ability of a number of different ordered probit models to predict ratings based on firm-specific data on business and financial risks. We investigate models based on momentum, drift and ageing and compare them against alternatives that take into account the initial rating of the firm and its previous actual rating. Using data on US bond issuing firms rated by Fitch over the years 2000 to 2007 we compare the performance of these models in predicting the rating in-sample and out-of-sample using root mean squared errors, Diebold-Mariano tests of forecast performance and contingency tables. We conclude that initial and previous states have a substantial influence on rating prediction

Credit spreads: An empirical analysis on the informational content of stocks, bonds, and CDS.

This paper explores the dynamic relationship between stock market implied credit spreads, CDS spreads, and bond spreads. A general VECM representation is proposed for changes in the three credit spread measures which accounts for zero, one, or two independent cointegration equations, depending on the evidence provided by any particular company. Empirical analysis on price discovery, based on a proprietary sample of North American and European firms, and tailored to the specific VECM at hand, indicates that stocks lead CDS and bonds more frequently than the other way round. It likewise confirms the leading role of CDS with respect to bonds.Publicad

Stock liquidity and SMEs’ likelihood of bankruptcy:evidence from the US market

We study the association between the stock liquidity of SMEs in the US and their likelihood of bankruptcy, using a dataset that comprises information on 5075 firms over the time period from 1984 to 2013 using the hazard model of Campbell et al. (2008). We find that less liquid stocks are associated with higher probability of bankruptcy, although there is substantial heterogeneity across industries regarding the predictive power of the liquidity measure on the likelihood of bankruptcy. Furthermore, the exchange where the SMEs are listed also affects the likelihood of bankruptcy. Classification performance tests conclude that adding a liquidity measure variable to the Campbell et al. (2008) model improves its predictive power

You Can’t Always Get What You Want: Trade-size Clustering and Quantity Choice in Liquidity”,

Abstract This paper examines whether investors care more about trading their exact quantity demands at some times than at others. Using a new data set of foreign-exchange transactions, I find that customers trade more precise quantities at quarter-end, as evidenced by less trade-size clustering. Customers trade more odd lots and fewer round lots, while the number of trades and total volume are not significantly changed. I also find that the price impact of order flow is greater when customers care more about trading precise quantities. This work sheds new light on trade-size clustering and offers a potential explanation for time-series and cross-sectional variations in common liquidity measures. JEL classification: D4; G12; G1

PIN, adjusted PIN, and PSOS : difference of opinion in the Korean stock market

Duarte and Young (2009) decompose the probability of information‐based trading PIN into adjusted PIN (AdjPIN) and probability of trading caused by symmetric order flow shocks (PSOS). We explore sources of PSOS in the Korean stock market and examine the relation between PSOS and stock returns. Using transaction data with trader types and initiator information, we find that AdjPIN is not priced, while PSOS is negatively priced, a finding that Lai et al. (2014) label “puzzling.” We find that the negative price of PSOS comes from differences of opinion among domestic individual investors on the significance of public news