none

碩士 === 國立中央大學 === 產業經濟研究所 === 94 === From 1988 to the present, a large empirical literature has used term structure yield spread that help predict future real GDP growth. This available empirical evidence tell us that high spreads today are associated with higher GDP growth in the future and low sp...

Full description

Bibliographic Details
Main Authors: Jack Hung, 洪士傑
Other Authors: none
Format: Others
Language:zh-TW
Published: 2006
Online Access:http://ndltd.ncl.edu.tw/handle/40467362256885360623
id ndltd-TW-094NCU05334028
record_format oai_dc
spelling ndltd-TW-094NCU053340282015-10-13T16:31:37Z http://ndltd.ncl.edu.tw/handle/40467362256885360623 none 貨幣政策、期間結構利差與實質產出成長之預測模型 Jack Hung 洪士傑 碩士 國立中央大學 產業經濟研究所 94 From 1988 to the present, a large empirical literature has used term structure yield spread that help predict future real GDP growth. This available empirical evidence tell us that high spreads today are associated with higher GDP growth in the future and low spreads today are associated with lower GDP growth in the future. This predicted model is used for predicting the GDP growth following one to two years especially good. However, the more recent evidence tells us that yield spreads have become less useful as predictors in recent years. In fact, one major predictive failures of the spread occurred on the occasion of the 1990-1991 recession. So in this paper, we use relevant macroeconomic data of USA to confirm and extend the conclusion of earlier studies. We discuss the yield spread between the 10-year Treasury bond rate and the 3-month Treasury bill rate contains information about future real GDP beyond that contained in various measures of monetary policy or inflation rates. Then we demonstrate that the ability of the yield spread to predict future output fluctuations is contingent on the change of monetary authority’s policy tool. Finally, we channel into the idea of rational expectation to consider different number of quantity of information in different case and find a simple but useful way to raise the predictive power of this model. none 陳禮潭劉錦龍 2006 學位論文 ; thesis 57 zh-TW
collection NDLTD
language zh-TW
format Others
sources NDLTD
description 碩士 === 國立中央大學 === 產業經濟研究所 === 94 === From 1988 to the present, a large empirical literature has used term structure yield spread that help predict future real GDP growth. This available empirical evidence tell us that high spreads today are associated with higher GDP growth in the future and low spreads today are associated with lower GDP growth in the future. This predicted model is used for predicting the GDP growth following one to two years especially good. However, the more recent evidence tells us that yield spreads have become less useful as predictors in recent years. In fact, one major predictive failures of the spread occurred on the occasion of the 1990-1991 recession. So in this paper, we use relevant macroeconomic data of USA to confirm and extend the conclusion of earlier studies. We discuss the yield spread between the 10-year Treasury bond rate and the 3-month Treasury bill rate contains information about future real GDP beyond that contained in various measures of monetary policy or inflation rates. Then we demonstrate that the ability of the yield spread to predict future output fluctuations is contingent on the change of monetary authority’s policy tool. Finally, we channel into the idea of rational expectation to consider different number of quantity of information in different case and find a simple but useful way to raise the predictive power of this model.
author2 none
author_facet none
Jack Hung
洪士傑
author Jack Hung
洪士傑
spellingShingle Jack Hung
洪士傑
none
author_sort Jack Hung
title none
title_short none
title_full none
title_fullStr none
title_full_unstemmed none
title_sort none
publishDate 2006
url http://ndltd.ncl.edu.tw/handle/40467362256885360623
work_keys_str_mv AT jackhung none
AT hóngshìjié none
AT jackhung huòbìzhèngcèqījiānjiégòulìchàyǔshízhìchǎnchūchéngzhǎngzhīyùcèmóxíng
AT hóngshìjié huòbìzhèngcèqījiānjiégòulìchàyǔshízhìchǎnchūchéngzhǎngzhīyùcèmóxíng
_version_ 1717771539099680768