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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

是否投資人恐慌情緒會影響台指期貨與現貨的價格發現功能

曾祥智, Shyang-Jyh Tseng Unknown Date (has links)
過去文獻研究對於各國的指數衍生性商品與現貨市場間之關係,多數專注在其交易成本、放空限制等因素對資訊傳遞與價格發現功能的影響;本研究以台指期貨與現貨價格間的共整合關係與領先落後關係為出發,加入以台指選擇權波動率指數的變動為投資人情緒指標,檢視在投資人情緒為恐慌及樂觀兩種極端情緒情形下,是否因情緒波動影響投資策略、進而對台指期貨與現貨的關係造成影響,並且在兩種極端的情緒下受到的影響是否對稱、與一般情形時的台指期貨與現貨間關係又是否一致。 研究方法以誤差修正模型為基礎,探討台指期貨與現貨價格間的共整合與價格發現功能,並且應用Tsay(1998)提出的非線性多變量門檻模型,以台指選擇權波動率指數的變動為門檻變數,依模型設定選擇最適的門檻值,將兩市場的價格資料依投資人情緒為恐慌、樂觀或無明顯差異作分類,在各個狀態下以誤差修正模型作迴歸,檢視投資人情緒對台指期貨與現貨價格間關係的影響。 實證結果顯示台指期貨與現貨價格間存在共整合關係,並且主要由台指現貨往長期均衡價格修正,台指期貨平均約領先現貨反應資訊達15~20分鐘,而現貨則無明顯領先期貨的情形;另一方面,在投資人情緒為恐慌或樂觀的極端情緒下,台指期貨與現貨間關係存在對稱性,台指期貨與現貨均會往長期均衡價格修正,當投資人有恐慌情緒,價格將往負向修正,當投資人有樂觀情緒時則往正向修正,若投資人在普通情緒下則不存在一致性的修正趨勢,由此可知市場對未來股市的預期影響投資人情緒,進而其投資操作策略發生變化,對台指期貨與現貨市場間的關係有顯著的影響。
2

從貨幣政策看房價之變動趨勢-以臺北市為例 / The change of housing price from the monetary policy

黎佳貞, Li, Chia Chen Unknown Date (has links)
在金融市場及經濟環境多變的情況下,貨幣政策之操作亦日漸重要。台灣央行自2000年起,為了刺激經濟發展不斷調降利率,實行寬鬆的貨幣政策;同期間台灣都會區之房地產價格亦開始不斷持續上漲。由於低利率即表房地產投資的低資金成本,也提供了有利的房地產投資環境,因此台灣寬鬆貨幣政策是否導致房價的高漲值得探討。文獻中關於利率與房價的相關研究甚多,然對於利率所隱含的政策意義及功能仍少有著墨,因此本研究利用共整合分析及因果關係檢定,並以Taylor’s Rule作為貨幣政策指標,檢視台灣1991-2010年間的貨幣政策與房價所存在之關係以及其鬆緊程度,俾了解貨幣政策在房地產價格中所扮演的角色。實證結果發現貨幣政策與房價間存在長期均衡之關係,且兩者會相互影響。接著利用Taylor’s Rule為指標發現台灣在2001-2005年之貨幣政策過度寬鬆,雖使得台灣房地產景氣自2003年開始復甦,但持續的低利率政策,則為導致台灣房價不斷攀升之原因。 / Taiwan’s Central Bank implemented loose monetary policy through reducing interest rate since 2000 to stimulate economy growth. In the mean time, housing prices rose rapidly since low interest rates encourage housing investment. We therefore hypothesize that the loose monetary policy caused the surge of housing prices. Previous studies have discussed the relationship between interest rates and housing prices, they usually ignored the rationale behind the interest rate. This paper employs the Johnson cointegration test, Granger causality test and Taylor’s Rule as a benchmark to examine the monetary policy from 1991 to 2010 in Taiwan. We found the existence of two-way, long-term relationship between the monetary policy and the housing price. Results also show that there exists excessively loose monetary policy from 2001 to 2005 using Taylor’s Rule as the benchmark. The loose monetary policy caused the housing price to rise from 2003, and the persisting lower interest rates led the surge of housing prices.
3

由金融帳之角度探討亞洲通貨危機 / From Financial Account to Asian Currency Crisis

郭怡婷, Kuo, Yi-Ting Unknown Date (has links)
90年代末東亞金融危機造成多國貨幣大幅貶值,銀行紛紛倒閉。基本上金融危機可分為通貨危機(Currency Crisis)與銀行危機(Banking Crisis);通貨危機是指當年中任一季名目匯率貶值超過25%,且貶值幅度比前一季超過10個百分點。諸多實證文獻顯示,高估一國匯率為其通貨崩潰之先驅;又由於近年來新興國家快速開放資本市場,以致於成為危機之導火線。為分析此一現象,本文首先編製金融帳權數之新台幣實質有效匯率指數,並將東亞之台灣、印尼、韓國、菲律賓、泰國等五國之匯率、相對物價(各國與美國物價)、金融帳餘額等變數做共整合關係檢定,觀察三個變數的長期均衡關係,再將誤差項加入模型中,建構向量誤差模型。實證結果發現,金融帳與相對物價對匯率有顯著之影響力。 / The 1997 East Asian Crises had made exchange rate depreciations and bank bankruptcies. Broadly speaking, it can be divided into currency crisis and banking crisis. Nominal exchange rate of any season in a year, which is depreciated over 25% and 10% than last season, is called a currency crisis. Lots of papers demonstrate that overvaluation is a precursor of a currency crash. Furthermore, developing countries have opened capital markets so rapidly that it became the tinderbox of crises. To analyze the phenomenon, this thesis first compile Taiwan’s financial weighted real effective exchange rate index, then examine exchange rates, relative prices (compare to American consumer price index), and net financial account of Taiwan, Indonesia, Korea, Philippine, and Thailand with cointegrated test to identify the long run equilibrium relationships between variables; then adding error terms into models to estimates vector error correction model (VECM). The empirical results show that financial account and relative price influence exchange rate significantly.

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