Testing the Early Warning System: Common Determinants of Currency Crisis in Turkey
This study focuses on examining the predictive power of both signal approach developed by Kaminsky, Lindo and Reinart (1998) and probit model developed by Frankel and Rose (1996). This study tests both two models in Turkey between 1990 and 2003 when there are two main serious currency crises happene...
| Main Author: | |
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| Format: | Dissertation (University of Nottingham only) |
| Language: | English English |
| Published: |
2013
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| Online Access: | https://eprints.nottingham.ac.uk/26845/ |
| _version_ | 1848793257772843008 |
|---|---|
| author | Qiu, Xixi |
| author_facet | Qiu, Xixi |
| author_sort | Qiu, Xixi |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | This study focuses on examining the predictive power of both signal approach developed by Kaminsky, Lindo and Reinart (1998) and probit model developed by Frankel and Rose (1996). This study tests both two models in Turkey between 1990 and 2003 when there are two main serious currency crises happened in 1994 and 2001. Then, the study compares the results suggested by both two models and examines whether the same model has different predictive power in terms of different type of crises. Finally, two models give quite different results. The Signal approach has a satisfactory overall performance while only minority of individual variables works well. Only export, equity index and foreign currency reserves have good performance as noise-to-signal ratio is lower than 1 (0.34, 0.99 and 0.99), given the 90% as the threshold. As the threshold decreases, the number of variables also decline to only two (85%) and then one (80%), which is export with 0.4 as noise-to-signal ratio. However, in the probit model, most variables that have significant power in predicting currency crisis but the overall performance is not as good as signal approach. The increased exports, overnight rate and terms of trade have increased the probability of currency crisis. The decreased business confidence and industrial growth increase the probability of currency crisis. Interestingly, two models give quite different results, as most variables that have good performance in signal approach do not have significant predictive power in probit model. The export is only the indicator that only is agreed by both models. |
| first_indexed | 2025-11-14T18:57:26Z |
| format | Dissertation (University of Nottingham only) |
| id | nottingham-26845 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-14T18:57:26Z |
| publishDate | 2013 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-268452018-06-05T07:26:12Z https://eprints.nottingham.ac.uk/26845/ Testing the Early Warning System: Common Determinants of Currency Crisis in Turkey Qiu, Xixi This study focuses on examining the predictive power of both signal approach developed by Kaminsky, Lindo and Reinart (1998) and probit model developed by Frankel and Rose (1996). This study tests both two models in Turkey between 1990 and 2003 when there are two main serious currency crises happened in 1994 and 2001. Then, the study compares the results suggested by both two models and examines whether the same model has different predictive power in terms of different type of crises. Finally, two models give quite different results. The Signal approach has a satisfactory overall performance while only minority of individual variables works well. Only export, equity index and foreign currency reserves have good performance as noise-to-signal ratio is lower than 1 (0.34, 0.99 and 0.99), given the 90% as the threshold. As the threshold decreases, the number of variables also decline to only two (85%) and then one (80%), which is export with 0.4 as noise-to-signal ratio. However, in the probit model, most variables that have significant power in predicting currency crisis but the overall performance is not as good as signal approach. The increased exports, overnight rate and terms of trade have increased the probability of currency crisis. The decreased business confidence and industrial growth increase the probability of currency crisis. Interestingly, two models give quite different results, as most variables that have good performance in signal approach do not have significant predictive power in probit model. The export is only the indicator that only is agreed by both models. 2013-09-27 Dissertation (University of Nottingham only) NonPeerReviewed application/pdf en https://eprints.nottingham.ac.uk/26845/2/9Testing_the_Early_Warning_System-_Common_Determinants_of_Currency_Crisis_in_Turkey.pdf application/pdf en https://eprints.nottingham.ac.uk/26845/1/9Testing_the_Early_Warning_System-_Common_Determinants_of_Currency_Crisis_in_Turkey.pdf Qiu, Xixi (2013) Testing the Early Warning System: Common Determinants of Currency Crisis in Turkey. [Dissertation (University of Nottingham only)] (Unpublished) |
| spellingShingle | Qiu, Xixi Testing the Early Warning System: Common Determinants of Currency Crisis in Turkey |
| title | Testing the Early Warning System: Common Determinants of Currency Crisis in Turkey |
| title_full | Testing the Early Warning System: Common Determinants of Currency Crisis in Turkey |
| title_fullStr | Testing the Early Warning System: Common Determinants of Currency Crisis in Turkey |
| title_full_unstemmed | Testing the Early Warning System: Common Determinants of Currency Crisis in Turkey |
| title_short | Testing the Early Warning System: Common Determinants of Currency Crisis in Turkey |
| title_sort | testing the early warning system: common determinants of currency crisis in turkey |
| url | https://eprints.nottingham.ac.uk/26845/ |