| dc.contributor.advisor | 林左裕 | zh_TW |
| dc.contributor.advisor | Lin, Tsoyu Calvin | en_US |
| dc.contributor.author (作者) | 張曉慈 | zh_TW |
| dc.contributor.author (作者) | Chang, Hsiao Tzu | en_US |
| dc.creator (作者) | 張曉慈 | zh_TW |
| dc.creator (作者) | Chang, Hsiao Tzu | en_US |
| dc.date (日期) | 2009 | en_US |
| dc.date.accessioned | 9-十二月-2010 16:51:22 (UTC+8) | - |
| dc.date.available | 9-十二月-2010 16:51:22 (UTC+8) | - |
| dc.date.issued (上傳時間) | 9-十二月-2010 16:51:22 (UTC+8) | - |
| dc.identifier (其他 識別碼) | G0097257017 | en_US |
| dc.identifier.uri (URI) | http://nccur.lib.nccu.edu.tw/handle/140.119/50044 | - |
| dc.description (描述) | 碩士 | zh_TW |
| dc.description (描述) | 國立政治大學 | zh_TW |
| dc.description (描述) | 地政研究所 | zh_TW |
| dc.description (描述) | 97257017 | zh_TW |
| dc.description (描述) | 98 | zh_TW |
| dc.description.abstract (摘要) | 資產報酬的波動程度隱含風險與不確定性，不同的投資者存在不同之風險偏好與風險承受能力，因此瞭解報酬波動之特性有其必要性；又鑑於過去不動產市場對於商用與住宅不動產兩次市場之相關研究較欠缺。因此本研究擬分別探討商用與住宅不動產市場報酬波動特性與差異，並檢視其風險與報酬間之關係。此外，總體經濟環境之變動會影響不動產市場供需關係，進而影響其價格與報酬之波動，因此本研究最後再進一步討論影響其市場報酬之總體經濟因素。為捕捉不動產市場報酬之波動特性，本研究擬透過GARCH模型分別檢驗商用與住宅不動產市場報酬波動特性與差異；進而應用GARCH-M模型，探討商用與住宅不動產市場報酬與風險之關係；最後透過落遲分配模型實證比較分析顯著影響商用與住宅不動產市場報酬之總體經濟因素。樣本取自台北地區，資料期間為1997年2月至2009年3月之月資料。實證結果顯示，商用不動產市場中投資人較容易透過自身過去的報酬波動推測未來的波動，反觀住宅不動產市場部分，投資人則傾向注意整體市場消息的散佈，因為其較容易受到外在因素影響而導致報酬波動；由GARCH-M模型實證結果顯示，住宅與商用不動產市場報酬與風險間均呈現顯著正相關，顯示其市場波動風險增加時期，會提供更高之報酬以均衡投資者所面對之較高市場波動風險；由落遲分配模型實證結果顯示，商用與住宅不動產市場報酬確實和總經變數之間有著程度不同的關聯性，所有當期總經變數與不動產報酬間均不存在顯著影響關係，顯示各總經變數對不動產報酬的影響存在時間落差。此外，總經變數對商用報酬的影響程度相對大於對住宅報酬的影響，且總體經濟環境變動對於商用不動產市場報酬之衝擊相對較為迅速。 | zh_TW |
| dc.description.abstract (摘要) | This research plans to study the relative volatility characteristic of commercial and residential property returns. In addition, the changing real estate environment can be linked to the macro economy, so we further discusses the relationship between property returns and the macro economy. In order to catch the volatility characteristic of real estate returns, we use GARCH model to examine the volatile behavior of real estate returns of commercial and residential property in the Taipei area during the period of February 1997 to March 2009, and because risk is time-varying in the market, we continue to employ GARCH-M model to observe whether can explain the change in expected returns of commercial and residential property. Furthermore, we use distributed-lag model to explore the relationship between macroeconomic factors and real estate returns.The major findings of this article can be summarized as follows. First, it is easier for investors to infer the future fluctuation through oneself returns in the past in the commercial real estate market, but part on the residential real estate market, the volatility of residential property returns is influenced by external factor more easily. Second, our empirical applications in both commercial and residential real estate markets show that the risk is positively correlated with both property returns and high risk can bring high return. Third, there are different relations of intensity between real estate returns and macroeconomic factors and the impact of macroeconomic factors on real estate returns exist time-lag. In addition, macroeconomic factors’ impact on commercial returns is relatively great, and the environmental change takes place to the impact of the commercial property returns comparatively fast. | en_US |
| dc.description.tableofcontents | 第一章 緒論 1 第一節 研究動機與目的 第二節 研究方法與名詞定義 第三節 研究範圍與限制 第四節 研究架構與流程第二章 文獻回顧 11 第一節 不動產次市場差異相關文獻 第二節 不動產報酬波動之異質變異現象 第三節 不動產風險溢酬波動之異質變異現象 第四節 總體經濟變數與不動產市場之關聯性 第五節 本章小節第三章 研究方法與資料說明 22 第一節 研究方法理論模型 第二節 資料描述與分析第四章 實證結果與分析 34 第一節 單根檢定 第二節 商用與住宅不動產市場報酬波動特性比較分析 第三節 商用與住宅不動產市場報酬與風險之關係 第四節 商用與住宅市場報酬波動與總體經濟關聯性第五章 結論與建議 54參考文獻 56 | zh_TW |
| dc.format.extent | 749603 bytes | - |
| dc.format.mimetype | application/pdf | - |
| dc.language.iso | en_US | - |
| dc.source.uri (資料來源) | http://thesis.lib.nccu.edu.tw/record/#G0097257017 | en_US |
| dc.subject (關鍵詞) | 波動性 | zh_TW |
| dc.subject (關鍵詞) | 次市場 | zh_TW |
| dc.subject (關鍵詞) | 不動產報酬 | zh_TW |
| dc.subject (關鍵詞) | GARCH | zh_TW |
| dc.subject (關鍵詞) | GARCH-M | zh_TW |
| dc.subject (關鍵詞) | 落遲分配模型 | zh_TW |
| dc.subject (關鍵詞) | Volatility | en_US |
| dc.subject (關鍵詞) | Submarket | en_US |
| dc.subject (關鍵詞) | Real Estate Returns | en_US |
| dc.subject (關鍵詞) | GARCH | en_US |
| dc.subject (關鍵詞) | GARCH-M | en_US |
| dc.subject (關鍵詞) | Distributed-lag model | en_US |
| dc.title (題名) | 影響不動產報酬波動性之總體經濟因素分析 | zh_TW |
| dc.title (題名) | Macroeconomic factors attributing to the volatility of real estate returns | en_US |
| dc.type (資料類型) | thesis | en |
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