The aim of this study was to investigate whether firms’ reporting delays are interconnected with bankruptcy risk and … delay, either in a binary or ordinal form, was used as the dependent variable, while bankruptcy risk based on an … a higher risk of bankruptcy were more likely to delay the submission of their annual reports. Firms with different ages …

on insolvency risk will be defined by recalling the concepts of Cash Flow-at-Risk and Capital-at-Risk. A first check on … through a simulation model. The scenario analysis allows us to examine how financial and risk policies oriented by insolvency …This conceptual paper focuses on the relationship between insolvency, capital structure, and value creation. The aim is …

. Theoretically, this feature lowers the risk attributable to holding companies, enabling them to offer lower-cost debts compared to … their risk spreads, controlling the bonds' risk ranking, maturities, and issue sizes. Further, a model is needed to make the … the risk spreads of stand-alone banks and bank holding companies in Spain by including all outstanding rated bonds offered …

We develop the regime-switching default risk (RSDR) model as a generalization of Merton's default risk (MDR) model. The …

beneficiary: a defined benefit (DB) and a defined contribution (DC) plan. While salary risk is the main common risk factor in DB … price risk. We model these tradeoffs explicitly in this paper and compare these two plans in a utility-based framework. Our … of risk aversion, which is inconsistent with the existing literature. …

We discuss when and why custom multi-factor risk models are warranted and give source code for computing some risk … factors. Pension/mutual funds do not require customization but standardization. However, using standardized risk models in … quant trading with much shorter holding horizons is suboptimal: (1) longer horizon risk factors (value, growth, etc …

market with reinvestment risk, since in this case the total liability cannot easily be separated into hedgeable and non …

findings suggest that machine learning methods provide more accurate models of stock returns based on risk factors than … standard regression-based methods of estimation. They also indicate that certain risk factors and combinations of risk factors …

The main purpose of this study was to explore the relationship between market and accounting measures of risk and the … coefficients as a systematic risk measure. The research considered classical and downside risk measures. The profitability of a … company was expressed as ROA and ROE. When determining the downside risk, two approaches were employed: the approach by Bawa …