The Application of Proportional Hazard Model in Warning System of Financial Crises
碩士 === 朝陽科技大學 === 財務金融系碩士班 === 91 === In view of the financial crises which cause serious damage to economy and society, it is necessary to build a warning model to predict the potential financial crises in advance. This paper employs empirical data from in 31 countries from America, Asia, Europe, M...
Main Authors: | , |
---|---|
Other Authors: | |
Format: | Others |
Language: | zh-TW |
Published: |
2003
|
Online Access: | http://ndltd.ncl.edu.tw/handle/69253768773614094219 |
id |
ndltd-TW-091CYIT5304023 |
---|---|
record_format |
oai_dc |
spelling |
ndltd-TW-091CYIT53040232015-10-13T15:01:28Z http://ndltd.ncl.edu.tw/handle/69253768773614094219 The Application of Proportional Hazard Model in Warning System of Financial Crises 應用等比例危險模型於金融危機預警系統之研究 Huey-Ling Liou 劉惠鈴 碩士 朝陽科技大學 財務金融系碩士班 91 In view of the financial crises which cause serious damage to economy and society, it is necessary to build a warning model to predict the potential financial crises in advance. This paper employs empirical data from in 31 countries from America, Asia, Europe, Middle East and Africa in 1990-1997. We employ Cox and Oakes’s (1984) proportional hazard model (PHM) to construct the warning model with one or two years before potential financial crises. Empirical results of this study show that the nominal rate change and consumer prices could be used as leading indicators of crises in model 1. Model 2 suggests that the change of real exchange rate, reserves and consumer prices could be used as leading indicators of crises. The accurate rate of model 1 and model 2 are 88% and 82%, respectively, showing that the PHM model has a moderate to high prediction capability. Tsoyu-Calvin Hsu Chien-Hung Chen 林左裕 陳建宏 2003 學位論文 ; thesis 74 zh-TW |
collection |
NDLTD |
language |
zh-TW |
format |
Others
|
sources |
NDLTD |
description |
碩士 === 朝陽科技大學 === 財務金融系碩士班 === 91 === In view of the financial crises which cause serious damage to economy and society, it is necessary to build a warning model to predict the potential financial crises in advance.
This paper employs empirical data from in 31 countries from America, Asia, Europe, Middle East and Africa in 1990-1997. We employ Cox and Oakes’s (1984) proportional hazard model (PHM) to construct the warning model with one or two years before potential financial crises.
Empirical results of this study show that the nominal rate change and consumer prices could be used as leading indicators of crises in model 1. Model 2 suggests that the change of real exchange rate, reserves and consumer prices could be used as leading indicators of crises. The accurate rate of model 1 and model 2 are 88% and 82%, respectively, showing that the PHM model has a moderate to high prediction capability.
|
author2 |
Tsoyu-Calvin Hsu |
author_facet |
Tsoyu-Calvin Hsu Huey-Ling Liou 劉惠鈴 |
author |
Huey-Ling Liou 劉惠鈴 |
spellingShingle |
Huey-Ling Liou 劉惠鈴 The Application of Proportional Hazard Model in Warning System of Financial Crises |
author_sort |
Huey-Ling Liou |
title |
The Application of Proportional Hazard Model in Warning System of Financial Crises |
title_short |
The Application of Proportional Hazard Model in Warning System of Financial Crises |
title_full |
The Application of Proportional Hazard Model in Warning System of Financial Crises |
title_fullStr |
The Application of Proportional Hazard Model in Warning System of Financial Crises |
title_full_unstemmed |
The Application of Proportional Hazard Model in Warning System of Financial Crises |
title_sort |
application of proportional hazard model in warning system of financial crises |
publishDate |
2003 |
url |
http://ndltd.ncl.edu.tw/handle/69253768773614094219 |
work_keys_str_mv |
AT hueylingliou theapplicationofproportionalhazardmodelinwarningsystemoffinancialcrises AT liúhuìlíng theapplicationofproportionalhazardmodelinwarningsystemoffinancialcrises AT hueylingliou yīngyòngděngbǐlìwēixiǎnmóxíngyújīnróngwēijīyùjǐngxìtǒngzhīyánjiū AT liúhuìlíng yīngyòngděngbǐlìwēixiǎnmóxíngyújīnróngwēijīyùjǐngxìtǒngzhīyánjiū AT hueylingliou applicationofproportionalhazardmodelinwarningsystemoffinancialcrises AT liúhuìlíng applicationofproportionalhazardmodelinwarningsystemoffinancialcrises |
_version_ |
1717761012536442880 |