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539 Results

A Consistent Bootstrap Test for Conditional Density Functions with Time-Dependent Data

Staff Working Paper 2001-21 Fuchun Li, Greg Tkacz
This paper describes a new test for evaluating conditional density functions that remains valid when the data are time-dependent and that is therefore applicable to forecasting problems. We show that the test statistic is asymptotically distributed standard normal under the null hypothesis, and diverges to infinity when the null hypothesis is false.
Content Type(s): Staff research, Staff working papers Research Topic(s): Econometric and statistical methods JEL Code(s): C, C1, C12, C15, E, E3, E37

Evaluating Factor Models: An Application to Forecasting Inflation in Canada

Staff Working Paper 2001-18 Marc-André Gosselin, Greg Tkacz
This paper evaluates the forecasting performance of factor models for Canadian inflation. This type of model was introduced and examined by Stock and Watson (1999a), who have shown that it is quite promising for forecasting U.S. inflation.

Affine Term-Structure Models: Theory and Implementation

Staff Working Paper 2001-15 David Bolder
Affine models describe the stylized time-series properties of the term structure of interest rates in a reasonable manner, they generalize relatively easily to higher dimensions, and a vast academic literature exists relating to their implementation. This combination of characteristics makes the affine class a natural introductory point for modelling interest rate dynamics.

Evaluating Linear and Non-Linear Time-Varying Forecast-Combination Methods

Staff Working Paper 2001-12 Fuchun Li, Greg Tkacz
This paper evaluates linear and non-linear forecast-combination methods. Among the non-linear methods, we propose a nonparametric kernel-regression weighting approach that allows maximum flexibility of the weighting parameters.
Content Type(s): Staff research, Staff working papers Research Topic(s): Econometric and statistical methods JEL Code(s): C, C1, C14, C5, C53, E, E2, E27

The Application of Artificial Neural Networks to Exchange Rate Forecasting: The Role of Market Microstructure Variables

Staff Working Paper 2000-23 Nikola Gradojevic, Jing Yang
Artificial neural networks (ANN) are employed for high-frequency Canada/U.S. dollar exchange rate forecasting. ANN outperform random walk and linear models in a number of recursive out-of- sample forecasts.
Content Type(s): Staff research, Staff working papers Research Topic(s): Exchange rates JEL Code(s): C, C4, C45, F, F3, F31

Steps in Applying Extreme Value Theory to Finance: A Review

Staff Working Paper 2000-20 Younes Bensalah
Extreme value theory (EVT) has been applied in fields such as hydrology and insurance. It is a tool used to consider probabilities associated with extreme and thus rare events. EVT is useful in modelling the impact of crashes or situations of extreme stress on investor portfolios.
Content Type(s): Staff research, Staff working papers Research Topic(s): Financial markets JEL Code(s): C, C0, C4, C5, G, G1

Employment Effects Of Nominal-Wage Rigidity: An Examination Using Wage-Settlements Data

Staff Working Paper 2000-14 Umar Faruqui
The argument advocating a moderate level of inflation based on the downward nominal-wage rigidity (DNWR) hypothesis rests on three factors: its presence, extent, and negative impact in the labour market. This paper focuses on the employment effect of DNWR.
Content Type(s): Staff research, Staff working papers Research Topic(s): Labour markets JEL Code(s): C, C2, C23, J, J2, J23, J3, J30
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