Spelling suggestions: "subject:"1market liquidity risk"" "subject:"1market liquidity disk""
1 |
Stochastic supply curves and liquidity costs: estimation for brazilian equitiesHossaka, Guilherme Hideo Assaoka 26 June 2018 (has links)
Submitted by Guilherme Hideo Assaoka Hossaka (ghossaka@gmail.com) on 2018-09-07T17:43:58Z
No. of bitstreams: 1
Stochastic_Supply_Curves_and_Liquidity_Costs.pdf: 6114705 bytes, checksum: 383773b2814d582892c750a566229869 (MD5) / Approved for entry into archive by Janete de Oliveira Feitosa (janete.feitosa@fgv.br) on 2018-09-18T13:52:02Z (GMT) No. of bitstreams: 1
Stochastic_Supply_Curves_and_Liquidity_Costs.pdf: 6114705 bytes, checksum: 383773b2814d582892c750a566229869 (MD5) / Made available in DSpace on 2018-09-26T20:00:18Z (GMT). No. of bitstreams: 1
Stochastic_Supply_Curves_and_Liquidity_Costs.pdf: 6114705 bytes,
en
checksum: 383773b2814d582892c750a566229869 (MD5)
Previous issue date: 2018-06-26 / Market Liquidity is characterized by the easiness and freedom to trade assets at desired volumes and for prices perceived as representative of their values. When there is a scarcity of bid and ask offers at those terms, traders face the so called Market Liquidity Risk and they must offer concessions on their original offers, leading to additional costs. Approaches to model this phenomena exist in broad variety but a common component of most Market Liquidity models is an instantaneous cost component, also known as transaction/execution costs or realized/instantaneous impact. This element, here the Liquidity Cost, gives the actual trading prices faced by a trader, frequently a deviation from the unobservable “true price”, normally represented as a GBM with the mid-price as a proxy for modeling purposes. Although it is clear that Liquidity Costs are a relevant aspect of Market Liquidity Risk and it is present in many models, it is relegated to a more simplistic treatment, being though as well-behaved, deterministic, smooth and static. The main point of this work is to follow a different approach by evaluating Liquidity Costs at a microstructural level by estimating the Stochastic Supply Curve from C¸ etin-Jarrow-Protter Model for Brazilian equities. To do so, high-frequency-data from B3’s ftp is used and to build Limit Order Books for several stocks at intraday periods. The empirical findings support the existence of non-trivial Stochastic Supply Curves as a representation for Liquidity Costs in several equities on Brazilian Markets. Additionally, there is evidence that Liquidity Costs may behave in contrast with some of the literature, being stochastic with time-varying functional representations on the LOB and with liquidity parameters that could be represented as mean-reverting stochastic process.
|
2 |
市場風險值管理之應用分析以某金融控股公司為例 / The analysis of Market Risk VaR management :the case of financial holding company周士偉, Chou, Jacky Unknown Date (has links)
2008年次貸風暴橫掃全球金融市場,Basel II制度歷經多年的實施,卻無法有效防阻金融風暴的發生。觀察2008已採用內部模型法之主要國際金融機構之年報,亦發現採用蒙地卡羅模擬法之代表銀行『德意志銀行』於該年度竟發生了35次穿透,市場風險管理到底出了什麼問題?這是被極度關心的現象,產官學界也對此現象提出了許多議題。2012年的現在,次貸的風暴尚未遠去,新的歐債危機也正在蔓延,若金融風暴再次來臨,市場風險管理是否能克服次貸風暴後所凸顯的缺失,市場風險管理的價值除被動管理外,是否還可以進階到主動預警,以作為經營決策的重要參考資訊?這些都是國內金融機構需積極面對的急迫的市場風險管理議題。
個案金控的市場風險管理機制致力於解決次貸以來所凸顯的市場風險管理議題、提升市場風險衡量的精準度、擴大市場風險管理之應用範圍,並將市場風險管理的價值由被動管理角色進階到主動預警角色,以期作為經營決策的重要參考。經過多年的淬煉,其發展理念與經驗應具相當參考價值,故本論文以個案金融控股公司(以下簡稱個案金控)之實務經驗進行個案研究,除分析個案金控市場風險管理機制的基礎架構外,也將研究重心放在個案金控如何在此基礎架構下,開發多種進階市場風險量化管理功能。
本論文除研究個案金控如何完善市場風險值量化機制外,也對各量化功能的實施結果進行分析,以期研究成果可更客觀的作為其他金融控股公司未來發展進階市場風險衡量機制之參考。
|
Page generated in 0.0723 seconds