Macro vs. Micro Methods in Non-Life Claims Reserving (an Econometric Perspective)

Traditionally, actuaries have used run-off triangles to estimate reserve ("macro" models, on agregated data). But it is possible to model payments related to individual claims. If those models provide similar estimations, we investigate uncertainty related to reserves, with "macro" and "micro" models. We study theoretical properties of econometric models (Gaussian, Poisson and quasi-Poisson) on individual data, and clustered data. Finally, application on claims reserving are considered

Macro stress testing with sector specific bankruptcy models

This paper employs the methodology of Wilson (1997) on Hungarian data to conduct a macro stress test in relation to banks' corporate loan portfolio. First, sector specific models of bankruptcy are estimated, where the bankruptcy frequency is linked to the general health of the economy. Data on bankruptcy filings in Hungary between 1995 and 2005 are used. Then, after identifying relevant shocks, the estimated models are employed in Monte Carlo simulation to conduct a stress test on the Hungarian banking sector. Various loss measures are defined to quantify the impact of shocks and evaluate the resilience of the Hungarian banking sector. The sensitivity of the stress test results to the endogeneity of LGD and the prevailing macro environment are also examined

Macro-economy in models for default probability.

We inspect the question how to adapt to macro-economical variables those probability of default (PD) estimates where Merton's model assumptions cannot be used. The need for this is to obtain trustworthy estimates of PD from a given economical situation. The structure of a known market-credit risk model is adapted. The key concept in this adaptation is the assumption of a different probabilistic situation for a firm before and at (first) default. If a corporate firm defaults we use a different probabilistic relation between macro-economical and market risk than in a firm's normal not default operation. We found a remarkable resemblance between relativity of physical space-time and the economical framework of variables. This means a solution of the calibration problem without using a Gaussian distribution estimates of the default probability.English

Country portfolios in open economy macro models

This paper develops a simple approximation method for computing equilibrium portfolios in dynamic general equilibrium open economy macro models. The method is widely applicable, simple to implement, and gives analytical solutions for equilibrium portfolio positions in any combination or types of asset. It can be used in models with any number of assets, whether markets are complete or incomplete, and can be applied to stochastic dynamic general equilibrium models of any dimension, so long as the model is amenable to a solution using standard approximation methods. We first illustrate the approach using a simple two-asset endowment economy model, and then show how the results extend to the case of any number of assets and general economic structure.Econometric models ; Equilibrium (Economics) - Mathematical models ; Macroeconomics - Econometric models ; Monetary policy

A No-Arbitrage Vector Autoregression of Term Structure Dynamics with Macroeconomic and Latent Variables

This paper describes the joint dynamics of bond yields and macroeconomic variables in a Vector Autoregression, where identifying restrictions are based on the absence of arbitrage. Using a term structure model with inflation and economic growth factors, we investigate how macro variables affect bond prices and the dynamics of the yield curve. The setup accommodates higher order autoregressive lags for the macro factors. The macro variables are augmented by traditional unobserved term structure factors. We find that the forecasting performance of a VAR improves when no-arbitrage restrictions are imposed. Models that incorporate macro factors forecast better than traditional term structure models with only unobservable factors. Variance decompositions show that macro factors explain up to 85% of the variation in bond yields. Macro factors primarily explain movements at the short end and middle of the yield curve while unobservable factors still account for most of the movement at the long end of the yield curve.

Macroeconometric Policy Modeling for India: A Review of Some Analytical Issues

Not availableStructural Macro Models, Identification, VAR