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We analyse the impact of soft information on US mortgages for default prediction and provide a new measure for lender soft information that is based on the interest rates offered to borrowers and incremental to public hard information. Hard and soft information provide for a variation in annual...
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Risk forecasting is crucial for informed investment decision-making. Moreover, the salience of investment risk increases during economically uncertain times. In this paper, we study how sell-side analysts form expectations of firm risk, under different macroeconomic conditions (low versus high...
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volatility, liquidity risk and liquidity commonality. The measures indicate whether each of our nine investor types persistently … volatility. Liquidity risk is driven by the positive-feedback trades of foreigners and local institutions. Local individuals …’ contrarian trades Granger-cause liquidity commonality. We conclude that persistent trading strategies are important demand …
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Theoretically driven, market-based contingent claims models have recently been applied to the field of corporate insolvency prediction in an attempt to provide the art with a theoretical methodology that has been lacking in the past. Limited studies have been carried out in order directly to...
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the perspective of the internal credit rating system. Design/methodology/approach: Data from Moneyauction, the first P2P … self-assessed credit score system used by Moneyauction with regard to investor funding decisions and the actual repayment … performance outcomes of borrowers. The predictive power of this self-assessed credit score is also identified. Findings: The …
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