We analyze the usefulness of accounting information on tax loss carryforwards and negative performance to predict earnings and cash flows. We use hand-collected information on tax loss carryforwards and corresponding deferred taxes from the International Financial Reporting Standards tax...

Banks are concerned with the assessment of the risk of financial distress before giving out a loan. Many researchers proposed the use of models based on the Neural Networks in order to help the banker better make a decision. The objective of this paper is to explore a new practical way based on...

This pitch letter describes the personal application of the pitching tool developed by Faff (2015, 2018) to a potentially academic topic related to money laundering and corruption in the early stages of research. The pitch template aids in the identification of core elements that form the...

Credit risk is defined as the risk that borrowers will fail to pay its loan obligations. In recent years, a large number of banks have developed sophisticated systems and models to help bankers in quantifying, aggregating and managing risk. The outputs of these models also play increasingly...

This paper considers various types of forecast heuristics to examine the effects of boundedly rational agents on macroeconomic dynamics. Given the baseline New Keynesian model, we seek to find the expectation formation process that is most suitable in describing economic adjustments over the...

This study uses generalized additive models to identify and analyze nonlinear relationships between accounting-based and market-based independent variables and how these affect bankruptcy predictions. Specifically, it examines the independent variables that Altman (J Financ 23:589–609, 1968;...

This paper presents a new facet of the regional forecasts of the Institute for Employment Research (IAB). For the development in 2022, we report results at the level of administrative district types of the Federal Institute for Research on Building, Urban Affairs and Spatial Development (BBSR)....

The paper investigates the predictive power of a new survey implemented by the Federal Employment Agency (FEA) for forecasting German unemployment in the short run. Every month, the CEOs of the FEA's regional agencies are asked about their expectations of future labor market developments. We...

This paper investigates the role of structural imbalance between job seekers and job openings for the forecasting performance of a labour market matching function. Starting from a Cobb-Douglas matching function with constant returns to scale (CRS) in each frictional micro market shows that on...

It has been established in the literature that volatility of stock returns exhibits complex properties of not only volatility clustering, but also long memory, regime change, and substantial outliers during turbulent and calm periods. Hence, this paper seeks to analyze volatility spillover,...