Working Paper |
File Downloads |
Abstract Views |
Last month |
3 months |
12 months |
Total |
Last month |
3 months |
12 months |
Total |
Comparison of the accuracy in VaR forecasting for commodities using different methods of combining forecasts |
0 |
0 |
0 |
30 |
0 |
1 |
2 |
34 |
Comparison of tree-based models performance in prediction of marketing campaign results using Explainable Artificial Intelligence tools |
0 |
0 |
4 |
76 |
0 |
3 |
13 |
255 |
EWS-GARCH: New Regime Switching Approach to Forecast Value-at-Risk |
0 |
0 |
0 |
43 |
0 |
0 |
0 |
74 |
Enabling Machine Learning Algorithms for Credit Scoring -- Explainable Artificial Intelligence (XAI) methods for clear understanding complex predictive models |
0 |
1 |
9 |
98 |
0 |
3 |
15 |
212 |
GARCHNet - Value-at-Risk forecasting with novel approach to GARCH models based on neural networks |
2 |
2 |
3 |
59 |
2 |
2 |
9 |
91 |
HCR & HCR-GARCH – novel statistical learning models for Value at Risk estimation |
0 |
0 |
2 |
33 |
0 |
1 |
14 |
72 |
HRP performance comparison in portfolio optimization under various codependence and distance metrics |
0 |
2 |
8 |
103 |
1 |
4 |
20 |
307 |
Impact of using industry benchmark financial ratios on performance of bankruptcy prediction logistic regression model |
1 |
3 |
5 |
41 |
1 |
3 |
13 |
90 |
Is CAViaR model really so good in Value at Risk forecasting? Evidence from evaluation of a quality of Value-at-Risk forecasts obtained based on the: GARCH(1,1), GARCH-t(1,1), GARCH-st(1,1), QML-GARCH(1,1), CAViaR and the historical simulation models depending on the stability of financial markets |
1 |
3 |
29 |
345 |
1 |
4 |
48 |
707 |
Machine learning in the prediction of flat horse racing results in Poland |
1 |
4 |
22 |
238 |
8 |
13 |
60 |
690 |
Novel multilayer stacking framework with weighted ensemble approach for multiclass credit scoring problem application |
0 |
0 |
4 |
59 |
0 |
1 |
5 |
112 |
Nvidia’s stock returns prediction using machine learning techniques for time series forecasting problem |
0 |
2 |
2 |
146 |
1 |
3 |
7 |
511 |
Old-fashioned parametric models are still the best. A comparison of Value-at-Risk approaches in several volatility states |
0 |
1 |
8 |
116 |
0 |
3 |
25 |
221 |
One-Day Prediction of State of Turbulence for Portfolio. Models for Binary Dependent Variable |
0 |
0 |
0 |
41 |
1 |
1 |
1 |
70 |
Predicting football outcomes from Spanish league using machine learning models |
0 |
1 |
5 |
58 |
3 |
5 |
21 |
75 |
Size does matter. A study on the required window size for optimal quality market risk models |
0 |
0 |
6 |
37 |
3 |
4 |
23 |
107 |
So close and so far. Finding similar tendencies in econometrics and machine learning papers. Topic models comparison |
0 |
0 |
1 |
16 |
0 |
0 |
1 |
36 |
The effectiveness of Value-at-Risk models in various volatility regimes |
0 |
1 |
1 |
10 |
1 |
5 |
8 |
18 |
Towards better understanding of complex machine learning models using Explainable Artificial Intelligence (XAI) - case of Credit Scoring modelling |
0 |
0 |
3 |
82 |
3 |
4 |
20 |
177 |
Total Working Papers |
5 |
20 |
112 |
1,631 |
25 |
60 |
305 |
3,859 |