0000000000994082
AUTHOR
Matilde O. Fernandez
showing 3 related works from this author
The Separating Role of Collateral Requirements in Credit Markets with Asymmetric Information
2001
In this paper we test Bester's (1985, 1987) prediction about the separating role of contracts that involve both interest rates and collateral requirements in credit markets. To test this prediction we use data from natural credit markets and controlled experiments. Using a sample of credits to small and medium size firms in Valencia, Spain, we relate two different types of contracts with the ex post risk type of the borrower and other relevant variables. We then design two incentive compatible contracts and analyze decisions under two different experimental treatments, one with moral hazard. Our empirical results confirm that borrowers of ex post lower risk choose contracts with higher coll…
Motives for partial acquisitions between firms in the spanish stock market
2003
The paper analyses the motivations for inter-company investment on the Spanish Stock Market through the study of a sample of significant acquisitions reported to the CNMV (the Spanish Securities and Exchange Commission) by quoted firms. By analysing the sign of the cumulative abnormal returns (CAR) and of the correlations among the gains produced by the operation, an attempt is made to find out which motives predominate of the three most important ones suggested by the literature for takeovers: synergy, agency and hubris. Empirical evidence is presented that in the Spanish Stock Market the main motive for acquiring a holding is similar to synergy, especially in partial acquisitions with pos…
Toeholds and takeover probability: implications for investment strategies
2009
PurposeThe purpose of this paper is to propose various toehold indicators and analyse whether the models incorporating these indicators can be used to establish investment strategies.Design/methodology/approachLogistic regression is used to test toehold indicator significance.FindingsThe results reflect that the designed measures are positively correlated to the likelihood of launching a takeover, although the power of the models to predict out‐sample takeovers is moderate, between 60.71 percent and 71.59 percent. The indicators allow us to design strategies which offer positive abnormal returns. In particular, abnormal return over the Fama‐French factors is 0.5 percent.Originality/valueToe…