The Influence and Forecasting Model of Macroeconomics Factors on Iron ore Price

碩士 === 國立臺北大學 === 企業管理學系 === 100 === This research is focus on finding out how the macroeconomic data affect the iron ore price and we used 17 variables related to macroeconomic, such as CPI、M1 monetary supply、exchange rate、stock price index… … etc. And we use the monthly data during 2005 May to 201...

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Main Authors: Lu, MingChuan, 呂明權
Other Authors: 古永嘉
Format: Others
Language:zh-TW
Published: 2012
Online Access:http://ndltd.ncl.edu.tw/handle/97032286713346932000
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spelling ndltd-TW-100NTPU01210052015-10-13T20:51:33Z http://ndltd.ncl.edu.tw/handle/97032286713346932000 The Influence and Forecasting Model of Macroeconomics Factors on Iron ore Price 總體經濟因素對國際鐵礦石價格之影響與預測 Lu, MingChuan 呂明權 碩士 國立臺北大學 企業管理學系 100 This research is focus on finding out how the macroeconomic data affect the iron ore price and we used 17 variables related to macroeconomic, such as CPI、M1 monetary supply、exchange rate、stock price index… … etc. And we use the monthly data during 2005 May to 2011 June totally 74 months data to conduct multiple regression analysis、stepwise regression analysis and factor analysis in order to find out the most significant factor which affects the iron ore price. Through the research we can find out there are 4 major factors. Factor 1 is the iron ore price demand factor. Factor 2 is the business cycle lead-index factor. Factor 3 is the business co-index factor. Factor 4 is the stock price index factor. All the 4 major factors exist a positive relation between the iron ore price. Factor 1、Factor 3、 Factor 4 are statistically significant, but not Factor 2. 古永嘉 2012 學位論文 ; thesis 68 zh-TW
collection NDLTD
language zh-TW
format Others
sources NDLTD
description 碩士 === 國立臺北大學 === 企業管理學系 === 100 === This research is focus on finding out how the macroeconomic data affect the iron ore price and we used 17 variables related to macroeconomic, such as CPI、M1 monetary supply、exchange rate、stock price index… … etc. And we use the monthly data during 2005 May to 2011 June totally 74 months data to conduct multiple regression analysis、stepwise regression analysis and factor analysis in order to find out the most significant factor which affects the iron ore price. Through the research we can find out there are 4 major factors. Factor 1 is the iron ore price demand factor. Factor 2 is the business cycle lead-index factor. Factor 3 is the business co-index factor. Factor 4 is the stock price index factor. All the 4 major factors exist a positive relation between the iron ore price. Factor 1、Factor 3、 Factor 4 are statistically significant, but not Factor 2.
author2 古永嘉
author_facet 古永嘉
Lu, MingChuan
呂明權
author Lu, MingChuan
呂明權
spellingShingle Lu, MingChuan
呂明權
The Influence and Forecasting Model of Macroeconomics Factors on Iron ore Price
author_sort Lu, MingChuan
title The Influence and Forecasting Model of Macroeconomics Factors on Iron ore Price
title_short The Influence and Forecasting Model of Macroeconomics Factors on Iron ore Price
title_full The Influence and Forecasting Model of Macroeconomics Factors on Iron ore Price
title_fullStr The Influence and Forecasting Model of Macroeconomics Factors on Iron ore Price
title_full_unstemmed The Influence and Forecasting Model of Macroeconomics Factors on Iron ore Price
title_sort influence and forecasting model of macroeconomics factors on iron ore price
publishDate 2012
url http://ndltd.ncl.edu.tw/handle/97032286713346932000
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