Filtering by: Creator Runkle, David Edward. Remove constraint Creator: Runkle, David Edward.
Creator: Glosten, Lawrence R., Jagannathan, Ravi., and Runkle, David Edward. Series: Working paper (Federal Reserve Bank of Minneapolis. Research Dept.) Number: 505 Abstract: Earlier researchers have found either no relation or a positive relation between the conditional expected return and the conditional variance of the monthly excess return on stocks when they used the standard GARCH-M model. This is in contrast to the negative relation found when other approaches were used to model conditional variance. We show that the difference in the estimated relation arises because the standard GARCH-M model is misspecified. When the standard model is modified allow for (i) the presence for seasonal patterns in volatility, (ii) positive and negative innovations to returns to having different impacts on conditional volatility, and (iii) nominal interest rates to affect conditional variance, we once again find support for a negative relation. Using the modified GARCH-M model, we also show that there is little evidence to support the traditional view that conditional volatility is highly persistent. Also, positive unanticipated returns result in a downward revision of the conditional volatility whereas negative unanticipated returns result in an upward revision of conditional volatility of a similar magnitude. Hence the time series properties of the monthly excess return on stocks appear to be substantially different from that of the daily excess return on stocks. Keyword: Asset valuation, Return rate, Risk, Rate of return, Stocks, and Stock market Subject: G11 - General financial markets - Portfolio choice ; Investment decisions and G12 - General financial markets - Asset pricing ; Trading volume ; Bond interest rates
Creator: Boyd, John H., Daley, Lane A., 1953-, and Runkle, David Edward. Series: Working paper (Federal Reserve Bank of Minneapolis. Research Dept.) Number: 515 Abstract: This paper examines the seasonal pattern of accruals for loan-loss provisions and chargeoffs chosen by bank managers. Using the existing literature on intra-year discretionary accruals, knowledge of the incentive systems used to evaluate bank managers' performance, and various regulatory characteristics, we predict that accruals for provisions and chargeoffs will cluster in the fourth quarter of each year. We examine quarterly data for 105 large bank holding companies from the first quarter of 1980 through the fourth quarter of 1990. Our results indicate that: (1) provisions and chargeoffs are clustered in the fourth quarter, (2) this clustering is not related to the level of business activity of the banks, (3) the proximity of a bank's actual capital to its regulatory capital requirement does not affect this clustering, and (4) current provisions are affected both by current chargeoffs and by expectations about future chargeoffs. To examine whether the systematic characteristics of these loan-loss provision and chargeoff decisions are understood by users, we also estimate a quarterly equity valuation model in which quarterly provisions should be differentially weighted to reflect their seasonal characteristics. We find strong evidence to indicate that equity prices behave as if the market participants take these seasonal properties into account. Keyword: Bank lending, Loans, Charge-off, Loan losses, Banks, Loan-loss provision, and Seasonality Subject: G21 - Financial institutions and services - Banks ; Other depository institutions ; Micro finance institutions ; Mortgages and G14 - General financial markets - Information and market efficiency ; Event studies