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Information Asymmetry, Market Segmentation, and the Pricing of Cross-Listed Shares

Information Asymmetry, Market Segmentation, and the Pricing of Cross-Listed Shares
Author: Sugato Chakravarty
Publisher:
Total Pages:
Release: 2001
Genre:
ISBN:

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In the Chinese stock markets, foreign class B shares trade at an average discount of about 60 percent to the prices at which domestic A shares trade. We develop a simple model, incorporating both asymmetric information and market segmentation, to explain the relative pricing of A shares and B shares. Our model predicts that the former effect leads to discounts for B shares, while the latter effect implies a premium. Finally, we show theoretically that introduction of an index security on the domestic A shares, that can be traded by foreign investors, improves the liquidity of the B share market. Our empirical results indicate that the information asymmetry hypothesis provides a significant, though partial, explanation as to why the B shares consistently trade at lower prices than the A shares.


Chinese Dual-Class Shares Listed in Hong Kong and Mainland China

Chinese Dual-Class Shares Listed in Hong Kong and Mainland China
Author: Patrick Müller
Publisher: diplom.de
Total Pages: 122
Release: 2008-02-21
Genre: Business & Economics
ISBN: 3836609967

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Inhaltsangabe:Abstract: This paper aims at explaining the phenomenon of price anomalies between dual-class shares of companies located in mainland China (hereafter China). A-shares listed on either the Shanghai Stock Exchange (SHSE) or Shenzhen Stock Exchange (SZSE) command a premium over the price of the corresponding firm s H-shares traded at the Stock Exchange of Hong Kong (HKSE). This pricing puzzle arises from the segmentation of Chinese equity markets H-shares may be exclusively acquired by Hong Kong residents and international investors whereas A-shares are restricted to mainland Chinese investors. Although both classes of stock are entitled to the same future cash flows, investors are only willing to buy H-shares at a price significantly lower than that of A-shares. This unique setup offers the opportunity to test competing theories about the effects of market segmentation on asset pricing and to examine the factors that induce the price gap between cross-listed shares on different stock exchanges. Knowledge of the variables determining the price spread between H- and A-shares can make valuable contributions in a number of ways. Firstly, companies in mainland China pursuing initial public offerings (IPO) or seasoned equity offerings (SEO) may base their financing decision on a more thorough understanding of the parameters affecting stock prices of cross-listings in the respective markets. Secondly, policymakers in emerging country stock markets may draw conclusions concerning the design of foreign ownership regulation and investment restraints imposed on domestic and foreign investors. Lastly, international and local investors may build on a more profound understanding of the H- versus A-share discount (hereafter H-share discount) to narrow down attractive investment opportunity sets, especially in the light of the latest regulatory changes on the Chinese equity market. As of August 2007 the government body monitoring and regulating the national currency, China s State Administration of Foreign Exchange (SAFE), loosened its rigorous foreign exchange policy. Prior to the recent SAFE ruling, the annual amount to be freely converted from Chinese Yuan Renminbi (RMB) into foreign currencies was capped at a 50,000 United States Dollar (USD) limit. Under the new regime, mainland retail investors are granted unlimited convertibility of RMB into Hong Kong Dollar (HKD) given that investments flow into the Hong Kong securities market. In the [...]


The Effect of Dual Listing

The Effect of Dual Listing
Author: Frank K. Reilly
Publisher:
Total Pages: 72
Release: 1977
Genre: Stock exchanges
ISBN:

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Prediction of Stock Market Index Movements with Machine Learning

Prediction of Stock Market Index Movements with Machine Learning
Author: Nazif AYYILDIZ
Publisher: Özgür Publications
Total Pages: 121
Release: 2023-12-16
Genre: Business & Economics
ISBN: 975447821X

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The book titled "Prediction of Stock Market Index Movements with Machine Learning" focuses on the performance of machine learning methods in forecasting the future movements of stock market indexes and identifying the most advantageous methods that can be used across different stock exchanges. In this context, applications have been conducted on both developed and emerging market stock exchanges. The stock market indexes of developed countries such as NYSE 100, NIKKEI 225, FTSE 100, CAC 40, DAX 30, FTSE MIB, TSX; and the stock market indexes of emerging countries such as SSE, BOVESPA, RTS, NIFTY 50, IDX, IPC, and BIST 100 were selected. The movement directions of these stock market indexes were predicted using decision trees, random forests, k-nearest neighbors, naive Bayes, logistic regression, support vector machines, and artificial neural networks methods. Daily dataset from 01.01.2012 to 31.12.2021, along with technical indicators, were used as input data for analysis. According to the results obtained, it was determined that artificial neural networks were the most effective method during the examined period. Alongside artificial neural networks, logistic regression and support vector machines methods were found to predict the movement direction of all indexes with an accuracy of over 70%. Additionally, it was noted that while artificial neural networks were identified as the best method, they did not necessarily achieve the highest accuracy for all indexes. In this context, it was established that the performance of the examined methods varied among countries and indexes but did not differ based on the development levels of the countries. As a conclusion, artificial neural networks, logistic regression, and support vector machines methods are recommended as the most advantageous approaches for predicting stock market index movements.


International Financial Integration Through the Law of One Price

International Financial Integration Through the Law of One Price
Author: Eduardo Levy Yeyati
Publisher: World Bank Publications
Total Pages: 43
Release: 2006
Genre: Integracion financiera
ISBN:

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"The authors argue that the cross-market premium (the ratio between the domestic and the international market price of cross-listed stocks) provides a valuable measure of international financial integration, reflecting accurately the factors that segment markets and inhibit price arbitrage. Applying to equity markets recent methodological developments in the purchasing power parity literature, they show that nonlinear Threshold Autoregressive (TAR) models properly capture the behavior of the cross market premium. The estimates reveal the presence of narrow non-arbitrage bands and indicate that price differences outside these bands are rapidly arbitraged away, much faster than what has been documented for good markets. Moreover, the authors find that financial integration increases with market liquidity. Capital controls, when binding, contribute to segment financial markets by widening the non-arbitrage bands and making price disparities more persistent. Crisis episodes are associated with higher volatility, rather than by more persistent deviations from the law of one price. "--World Bank web site.


The Valuation Impact of Dual-Listing on International Exchanges

The Valuation Impact of Dual-Listing on International Exchanges
Author: Ana Paula Serra
Publisher:
Total Pages: 47
Release: 1998
Genre:
ISBN:

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This paper examines the effects on stock returns of dual-listing on an international exchange. My sample consists of 70 firms from 10 emerging markets that dual-listed on the NYSE, NASDAQ and SEAQ-I over the period 1991-1995. The theoretical motivation for this paper lies in the context of the segmentation of international capital markets. When a firm dual-lists, it makes its shares available to a broader investor base resulting in better risk sharing. In the particular case of emerging markets, where barriers to investment are more severe in the sense that international investment is, in the limit, precluded by regulatory and ownership barriers, we expect those effects to be more pronounced. Previous literature has looked at the effects of foreign listings and has found support for investor?s awareness and liquidity arguments but is inconclusive regarding the capital markets segmentation explanation. In this paper, I re-examine that issue: I evaluate whether an international dual-listing has any significant effect on returns and I proceed to investigate whether there is evidence to support an International Asset Pricing based explanation. In addition I compare the impact of US and London SEAQ-I listings. My results show that firms experience significant positive abnormal returns before listing and a significant decline in returns following listing and this effect is more pronounced for emerging markets? firms. Moreover, for these firms, the valuation impact is similar across exchanges.


Stock Price Informativeness, Cross-Listings and Investment Decisions

Stock Price Informativeness, Cross-Listings and Investment Decisions
Author: Thierry Foucault
Publisher:
Total Pages: 40
Release: 2013
Genre:
ISBN:

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We show that a cross-listing allows a firm to make better investment decisions because it enhances stock price informativeness. This theory of cross-listings yield several predictions. In particular, it implies that the sensitivity of investment to stock prices should be larger for cross-listed firms. Moreover, the increase in value generated by a cross-listing (the cross-listing premium) should be positively related to the size of growth opportunities and negatively related to the quality of managerial information. We also analyze in details the effects of the geography of ownership (the distribution of holdings between foreign and domestic investors) on the cross-listing premium. In particular, we show that the sensitivity of the cross-listing premium to the size of growth opportunities increases when holdings (resp. market shares) become more evenly distributed between foreign and domestic investors (resp. markets). Last, we show that concentration of trading in the home market (flow-back) can indeed increase the cross-listing premium for some firms.