東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Essays on Financial Crises and Secto...

Park, KeyYong.

FindBook

Google Book

Amazon

博客來

Essays on Financial Crises and Sectoral Analysis.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Essays on Financial Crises and Sectoral Analysis./
作者:	Park, KeyYong.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2016,
面頁冊數:	118 p.
附註:	Source: Dissertation Abstracts International, Volume: 77-11(E), Section: A.
Contained By:	Dissertation Abstracts International77-11A(E).
標題:	Economic theory. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10118758
ISBN:	9781339800875

Essays on Financial Crises and Sectoral Analysis.
Park, KeyYong.

Essays on Financial Crises and Sectoral Analysis. - Ann Arbor : ProQuest Dissertations & Theses, 2016 - 118 p.

Source: Dissertation Abstracts International, Volume: 77-11(E), Section: A.

Thesis (Ph.D.)--University of California, Los Angeles, 2016.

This dissertation studies financial crises and sector-based analysis. Chapter 1 studies the balance of payments crisis in the euro area periphery countries preceded by significant private capital inflows from 1999 to 2007. With a detailed empirical investigation, I find that these capital inflows in the form of debt mainly financed the nontradable sector and the industries with weak forward linkages to the tradable sector. The model economy explains that domestic misallocation of the capital inflows in terms of inter-industry linkages can trigger the debt repayment problem which was experienced by PIIGS (Portugal, Italy, Ireland, Greece, and Spain). More precisely, it shows that the debt infows under the protection of implicit bailout-guarantee cannot be repaid in the case when they primarily nance the nontradable sector with weak forward linkage to the tradable sector. Chapter 2, which is co-authored with Aaron Tornell and Hyo Sang Kim, looks at the size distribution of economic distress (ED) events over the recent period of globalization (1970 - 2014) and the long historical period (1830 - 2013). We find that there exists a remarkable relation between the magnitude of economic distress events and the frequency with which they occur. We document that there is a threshold below which the size of ED events follows an exponential distribution, while a Pareto distribution (a power-law) applies for ED events larger than the threshold. To explain the empirical results, we present a wildre model in which the dynamics of an individual ED event is determined by the interaction of two opposing forces: (i) the natural stochastic growth of the ED, which is proportional to the size of the damage that has already occurred; and (ii) a policy that attempts to extinguish the economic distress. We then derive the steady-state cross-sectional distribution of the final size of the ED events. Chapter 3 studies a sector rotation strategy. I introduce a sector rotation model that generates forecasts of sector performance combining 4 factors which include price momentum, market sentiment, macroeconomic factors, and earnings expectations. The backtest results show that all 4 factors and the sector rotation model outperform its benchmark (Equal-Weight Basket). Moreover, macro factor as a single factor generates the highest risk-adjusted returns.

ISBN: 9781339800875Subjects--Topical Terms:

1556984
Economic theory.

Essays on Financial Crises and Sectoral Analysis.
LDR:03308nmm a2200301 4500 001 2154415
005 20180416072029.5
008 190424s2016 ||||||||||||||||| ||eng d
020 $a 9781339800875
035 $a (MiAaPQ)AAI10118758
035 $a (MiAaPQ)ucla:14459
035 $a AAI10118758
040 $a MiAaPQ $c MiAaPQ
100 1 $a Park, KeyYong. $3 3342141
245 1 0 $a Essays on Financial Crises and Sectoral Analysis.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2016
300 $a 118 p.
500 $a Source: Dissertation Abstracts International, Volume: 77-11(E), Section: A.
500 $a Advisers: Aaron Tornell; Jinyong Hahn.
502 $a Thesis (Ph.D.)--University of California, Los Angeles, 2016.
520 $a This dissertation studies financial crises and sector-based analysis. Chapter 1 studies the balance of payments crisis in the euro area periphery countries preceded by significant private capital inflows from 1999 to 2007. With a detailed empirical investigation, I find that these capital inflows in the form of debt mainly financed the nontradable sector and the industries with weak forward linkages to the tradable sector. The model economy explains that domestic misallocation of the capital inflows in terms of inter-industry linkages can trigger the debt repayment problem which was experienced by PIIGS (Portugal, Italy, Ireland, Greece, and Spain). More precisely, it shows that the debt infows under the protection of implicit bailout-guarantee cannot be repaid in the case when they primarily nance the nontradable sector with weak forward linkage to the tradable sector. Chapter 2, which is co-authored with Aaron Tornell and Hyo Sang Kim, looks at the size distribution of economic distress (ED) events over the recent period of globalization (1970 - 2014) and the long historical period (1830 - 2013). We find that there exists a remarkable relation between the magnitude of economic distress events and the frequency with which they occur. We document that there is a threshold below which the size of ED events follows an exponential distribution, while a Pareto distribution (a power-law) applies for ED events larger than the threshold. To explain the empirical results, we present a wildre model in which the dynamics of an individual ED event is determined by the interaction of two opposing forces: (i) the natural stochastic growth of the ED, which is proportional to the size of the damage that has already occurred; and (ii) a policy that attempts to extinguish the economic distress. We then derive the steady-state cross-sectional distribution of the final size of the ED events. Chapter 3 studies a sector rotation strategy. I introduce a sector rotation model that generates forecasts of sector performance combining 4 factors which include price momentum, market sentiment, macroeconomic factors, and earnings expectations. The backtest results show that all 4 factors and the sector rotation model outperform its benchmark (Equal-Weight Basket). Moreover, macro factor as a single factor generates the highest risk-adjusted returns.
590 $a School code: 0031.
650 4 $a Economic theory. $3 1556984
650 4 $a Finance. $3 542899
690 $a 0511
690 $a 0508
710 2 $a University of California, Los Angeles. $b Economics. $3 1673657
773 0 $t Dissertation Abstracts International $g 77-11A(E).
790 $a 0031
791 $a Ph.D.
792 $a 2016
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10118758