• Refine Query
  • Source
  • Publication year
  • to
  • Language
  • 1
  • 1
  • Tagged with
  • 2
  • 2
  • 2
  • 2
  • 2
  • 2
  • 1
  • 1
  • 1
  • 1
  • 1
  • 1
  • 1
  • 1
  • 1
  • 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

信息不对称下,“中药材全产业链服务商”模式对中药材价格的影响研究

January 2019 (has links)
abstract: 中医药是中华文明的瑰宝,中药材是中医药文化和产业的核心。随着近年来国家相关政策出台,中药材产业的发展备受瞩目。由于中药材产业链条长,层级多,各层级间信息不对称,因而中药材市场普遍具有“假”、“乱”、“杂”的问题。 A公司的中药材全产业链服务商模式,通过对上游各主要专营商的整合,形成一定的平台综合集采能力,并开始得到下游医药厂家、药店认可,在市场逐步形成品牌号召力。本文实证研究A公司商业模式的转型对中药材市场价格的影响,进而分析中药材全产业链服务商模式在中药材行业健康发展中所发挥的积极作用。研究结果表明,上下游产销结合的中药材全产业链服务商模式,只有在形成一定收购规模,对市场价格产生一定影响的时候,才能充分释放药材质量的信号,润滑药材交易市场,提高收购价格,增加市场波动率,发挥价格发现作用。由于中药材市场的信息不对称程度较高,如果产销结合模式仍处于初级开创阶段,产销结合模式释放的药材质量信号则不足以全面改善信息不对称的状况。 / Dissertation/Thesis / Doctoral Dissertation Business Administration 2019
2

An Efficient Market Study of European CDS and Equity Markets

Wållberg, Fredric, Lundberg, Leo January 2022 (has links)
This thesis investigates the price discovery process between the stock and the credit default swap market (CDS). We link the financial theory of efficient markets and the underlying models and conditions involved in CDSs, the stock market and financial crashes. This study uses publicly listed firms and the European market CDS series to construct a matched stock portfolio and uses financial data collected between the years 2019 to 2021. The purpose is to better understand the price discovery process during a potential new type of crisis in modern financial history. It could potentially allow portfolio managers, traders, arbitrageurs and stakeholders who monitor systematic indices to gauge the level of risk in the overall economy. It can also better inform regulators about how the CDS and the stock market reacted to each other during the COVID-19 pandemic. This deductive and quantitative research is based on secondary data gathered from the Eikon financial database. It uses a vector autoregressive model to test a hypothesis regarding the price discovery process between the stock and CDS portfolios.  Our results show that when using only the variables for the CDS and stock market, both variables cause each other, which is to say a feedback effect is present between the CDS Europe index and the matched portfolio of stocks. When adding the three control variables, the stock variable no longer causes the CDS variable, while the CDS variable still causes the stock variable. We conclude that the European credit default swap index leads the matched portfolio of stocks in the price discovery process with our chosen variables.

Page generated in 0.1092 seconds