scholarly journals Scaling, Unwinding and Greening QE in a Calibrated Portfolio Balance Model

2021 ◽  
Author(s):  
Tina Koziol ◽  
Jesper Riedler
1981 ◽  
Vol 1981 (181) ◽  
pp. 1-25 ◽  
Author(s):  
Gerard Caprio ◽  
◽  
Peter B. Clark

1994 ◽  
Vol 38 (2) ◽  
pp. 52-57 ◽  
Author(s):  
Joachim Zietz

The traditional one-diagram representation of the portfolio balance model gets high marks for conciseness and efficiency but falls short in providing an intuitive understanding of the forces that drive the model. This paper offers an expanded graphical representation of the model. It features a diagram for each of the three assets considered by the portfolio balance model, domestic bonds, foreign bonds, and domestic money. The purpose is to make the economic adjustments that are taking place in the model's markets more intuitively obvious.


2009 ◽  
Vol 55 (2) ◽  
pp. 207-229 ◽  
Author(s):  
Jean-Pierre D. Chateau

The aim of the study is to explain Quebec major credit union's deposit market by way of integrating its public demand function with the institution's rate-setting operation. The demand for Caisses' deposits is specified as a dynamic stock adjustment model. On the other hand, the intermediary's rate-setting reduced form is derived from a risk-return portfolio balance model in which the managers maximize the expected utility of reserves. The two models are integrated by means of a liability composite rate. Econometric estimates of the integrated model provide us with interesting policy insights. For instance, the Quebecois public views chartered banks' deposits as a weak substitute for Caisses' deposits; it is also more responsive to nonrate arguments, such as loan eligibility or the institution's ethnic appeal. On the supply side, competitive liability rates are more important than returns on assets when the Caisses set its deposit rate. Finally, the impact growth imbalance between loans and deposits is well captured by a flow variable, without infringing on the steady determination based on rates.


2011 ◽  
Vol 3 (6) ◽  
pp. 352-359
Author(s):  
Saeed Rasekhi

Genetic Algorithms (GAs) are an adaptive heuristic search algorithm premised on the evolutionary ideas of natural selection and genetic. In this study we apply GAs for Fundamental Models of Exchange Rate Determination in exchange rate market. In this framework, we estimated absolute and relative purchasing power parity, Mundell-Fleming, sticky and flexible prices, equilibrium exchange rate and portfolio balance model as fundamental models for European Union’s Euro against the US Dollar using monthly data from January 1992 to December 2008. Then, we put these models into the genetic algorithm system for measuring their optimal weight for each model. These optimal weights have been measured according to four criteria i.e. R-squared (R2), mean square error (MSE), mean absolute percentage error (MAPE) and root mean square error (RMSE). Based on obtained Results, it seems that for explaining of EU Euro against the US Dollar exchange rate behavior, equilibrium exchange rate and portfolio balance model are better than the other fundamental models.


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