Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
Applied Econometrics / Chia-Lin Chang
| Applied Econometrics / Chia-Lin Chang |
| Autore | Chang Chia-Lin |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (222 p.) |
| Soggetto non controllato |
FHA loan
E42 Misery Index economic development managing of financial health duration models system GMM maximum likelihood estimator FMOLS market microstructure foreclosure company performance vector error correction model (VECM) earnings forecasts multivariate regression models competing risks social network model price recovery trading behavior efficiency prediction methods panel data nonlinearity control environment earnings announcements economic freedom E58 risk of bankruptcy foreign direct investment Granger causality test budgetary system and strategies denomination range heavy-tailed data unemployment exploratory diagnostics EGARCH historical time series home mortgage economic growth abnormal returns uncorrelated multivariate Student distribution post-communist countries nonparametric time series modeling inflation unified time series algorithm unobserved heterogeneity JEL Classification Fama-French factor model oil price risk spillover exchange rate Nigeria financial markets middle income countries trade balance independent multivariate Student distribution panel data factor model Mahalanobis distances derivatives market operational control Okun’s law default and prepayment DOLS income inequality frequency domain causality Granger-causality tests cointegration financial analysts postage stamps cash payments Probit and Logit models |
| ISBN |
9783038979272
3038979279 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910346688403321 |
Chang Chia-Lin
|
||
| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Corporate Bankruptcy Prediction : International Trends and Local Experience
| Corporate Bankruptcy Prediction : International Trends and Local Experience |
| Autore | Prusak Błażej |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (202 p.) |
| Soggetto topico | Economics, Finance, Business and Management |
| Soggetto non controllato |
artificial neural networks
audit expectation gap bagging bankruptcy bankruptcy model bankruptcy prediction bankruptcy risk boosting chapter 11 citation mining classification company performance corporate bankruptcy corporate failure credit risk modelling Czech Republic decision trees default ensemble classifiers European large companies failure financial distress financial ratios forecasting forecasting methods fuzzy sets insolvency ISA 701 key audit matters literature review manufacturing insolvency materiality meta-analysis models predicting financial distress neural networks payment defaults phases of economic cycle Poland prediction Principal Component Analysis rating systems regression count scoring models stacking support vector machine tax arrears |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Corporate Bankruptcy Prediction |
| Record Nr. | UNINA-9910557527203321 |
|
Prusak Błażej
|
||
| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||