The prime Economic classification of the nations are "Developed/ Developing/ Under developed". In the history, we are yet to see a country in the developing/under-developed category, moving towards a developed status. This was correctly questioned by the Nobel Laureate in Economics (1979),...

The aim of this study is to compare the ex post forecast accuracies of VAR, ARIMA, ES, Combining and Add-factor methods. In this comparison, the ex post forecasts of 2000:1-2000:4 are obtained by using the data of the Turkish private consumption for the period of 1987:1-1999:4. Beside private...

Rating transition models ([8], [13]) have been widely used for multi-period scenario loss projection for CCAR stress testing and IFRS 9 expected credit loss estimation. Though the cumulative probability of default (PD) for a rating can be derived by repeatedly applying the migration matrix at...

In the process of loan pricing, stress testing, capital allocation, modeling of PD term structure, and IFRS9 expected credit loss estimation, it is widely expected that higher risk grades carry higher default risks, and that an entity is more likely to migrate to a closer non-default rating than...

Common ordinal models, including the ordered logit model and the continuation ratio model, are structured by a common score (i.e., a linear combination of a list of given explanatory variables) plus rank specific intercepts. Sensitivity with respect to the common score is generally not...

Most point-in-time PD term structure models used in industry for stress testing and IFRS9 expected loss estimation apply only to macroeconomic scenarios. Loan level credit quality is not a factor in these models. In practice, credit profile at assessment time plays an important role in the...

This paper proposes a variational Bayes algorithm for computationally efficient posterior and predictive inference in time-varying parameter (TVP) models. Within this context we specify a new dynamic variable/model selection strategy for TVP dynamic regression models in the presence of a large...

The paper suggests and develops a computational approach to improve hierarchical fuzzy clustering time-series analysis when accounting for high dimensional and noise problems in dynamic data. A Robust Weighted Distance measure between pairs of sets of Auto-Regressive Integrated Moving Average...

This paper presents a set of benchmark moments for evaluation or estimation of quantitative capital structure models. The moments are directly related to the models being studied: the main features of each models' empirical policy functions. The paper describe a general method for estimating...

We explore bifurcation phenomena in the open-economy New Keynesian model developed by Clarida, Gali and Gertler (2002). We find that the open economy framework can bring about more complex dynamics, along with a wider variety of qualitative behaviors and policy responses. Introducing parameters...