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
| Applied Econometrics |
| 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 | 3-03897-927-9 |
| 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 electronic resource (202 p.) |
| Soggetto topico | Economics, finance, business & management |
| Soggetto non controllato |
ISA 701
audit expectation gap key audit matters materiality Poland corporate bankruptcy forecasting fuzzy sets artificial neural networks decision trees bankruptcy prediction tax arrears payment defaults financial ratios failure bankruptcy chapter 11 regression count meta-analysis literature review manufacturing insolvency prediction citation mining classification credit risk modelling corporate failure rating systems ensemble classifiers boosting bagging stacking scoring models insolvency financial distress default forecasting methods models predicting financial distress phases of economic cycle Czech Republic European large companies bankruptcy risk company performance Principal Component Analysis neural networks support vector machine bankruptcy model |
| 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 | ||
| ||