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Featured researches published by Tai Ma.


Social Science Research Network | 2001

Are Initial Return and IPO Discount the Same Thing? A Comparison of Direct Public Offerings and Underwritten IPOs

Tai Ma; Pei Ru Tsai

The major difference between this study and the literature is in the estimation of the true IPO discount. We point out that initial return consists of two parts: the true discount of the offer price as well as the market reaction on the listing. By comparing the true discounts in traditional underwritten IPOs and the emerging direct public offerings(DPOs), we find that DPOs have both lower initial returns and lower discounts than IPOs, furthermore, DPOs have positive market reaction(overreaction) while IPOs have negative market reaction(underreaction) in the first month. The reason for the smaller discount of DPOs is not due to underwriting mechanism or firm characteristics, but that DPOs investors have less information asymmetry problem than their counterpart in IPOs. However, the DPO investors may be overconfident on their private information, which leads to market overreaction in the first month. Key words: DPO, IPO discount, initial return, overconfidence, information asymmetry


Social Science Research Network | 2017

Rational or Irrational? A Comprehensive Studies on Stock Market Crashes

Tai Ma; Kuo Hsi Lee; Chien Huei Lai; Yang Shen Lee

This study attempts to illustrate the contributing factors for different patterns of crashes. In addition to the fundamental macro-economic factors, this paper argues that the existence of herding behavior as well as the level of investor attention are also important factors affecting the pattern of stock price fluctuations. By differentiating the rational component and irrational component of these behavioral factors, more insight concerning financial crisis can be drawn. Patterns of crashes are defined by three dimensions, which are the cumulative decline, the speed of decline, as well as the duration of the crash. Innovative measures and comprehensive analyses are conducted based on three sets of explanatory factors: macroeconomic factors, market micro-structure factors and behavioral factors. Results of partial R2 show that behavioral factors are the most influential factors explaining the magnitude as well as the duration of crash; while the speed of decline is mainly related to market micro-structure factor. Our results show that investors irrational behavior is more important than fundamental factors in explaining or predicting market crashes.The contribution of this study are threefold: First, crashes in 40 markets are defined, measured and categorized into eight types of crash patterns, providing interesting statistics for international market crashes. Secondly, we differentiate between rational and irrational components of behavioral factors in explaining the causes of market crashes, which are largely neglected in past literatures. Thirdly, threshold of each explanatory variable of market crash are estimated. The results of this paper can provide policy makers, fund managers and investors valuable information in risk management and pre-warning system.


Archive | 2012

Rational Expectations and Monetary Policy: A New Perspective on the Chinese Housing Market

Kuo-Che Hung; Tai Ma; Ming-Chi Chen

This paper revisits the effectiveness of Chinese monetary policy from augments concerning rational expectations. To estimate the dynamics of expectations, we incorporate market regime switching into the estimation of the rational expectations element using a recursive solution method. When Chinese market-oriented reforms improves the access of agents to market information, we show that (i) agents using available information behave rationally in forming price expectations and (ii) monetary policies in the presence of rational expectations are neutral with respect to real asset price dynamics, even if the market is heavily regulated by the monetary authority.


臺灣經濟預測與政策 | 2011

Who Wins and Who Loses in Transparent Markets? Daily and Intraday Analysis of Taiwan Stock Market

Hsiu-Kuei Chen; Shu-Fan Hsieh; Tai Ma

This paper provides evidence regarding the welfare effect of pre-trade transparency according to investor and order type. In order to appreciate the manner in which welfare varies with market transparency, it is necessary to examine investors’ behavioral adjustments (aggressiveness and order size adjustments) with respect to market transparency. We find that both individual and institutional investors are more willing to supply liquidity following the enhancement of market transparency. Although individual investors behave more aggressively and submit larger orders when they supply and demand liquidity, institutional investors are relatively more conservative and submit smaller orders in an open environment. The welfare of investors is measured in terms of implementation shortfall, which is the weighted average of price impacts and opportunity costs. Our main conclusion is that both institutional and individual investors, but especially institutional investors, who demand immediacy benefit from pre-trade transparency; however, individual investors who supply liquidity lose on account of pre-trade transparency. Further, intraday analysis indicates that although transparency enhancement is most detrimental for individual investors providing liquidity during the period approaching market close, it is most beneficial for institutional and individual investors demanding liquidity during the period approaching the close of markets.


Review of Pacific Basin Financial Markets and Policies | 2008

Does Information Content Necessarily Increase with Greater Pre-Trade Transparency?

Yaling Lin; Tai Ma; Hsiu-Kuei Chen

This study examines the impact of increasing pre-trade transparency using intraday data from the Taiwanese stock market, which has recently experienced gradually increasing transparency. The analytical results indicate the disclosed quotes are more informative than the accompanied depths, and the orders of institutional traders are more informative than those of individual traders. Additionally, the best quotes of unexecuted orders for individual traders always contain more information than the average quotes from Steps 2 to 5, whereas this does not apply for institutional investors. The feature is more obvious for the sub-samples with high and medium turnover rate, but not for the sub-samples with low turnover rate.


Asia Pacific Journal of Management | 1994

Stock market surveillance and market performance: The case of Taiwan

Tai Ma; Hsiu-Kuei Chen

In this paper we investigate the effect of warning announcements on the price behaviour of stocks. We also study the effects of various corrective treatments (trading halts, call trading and 100% payment/delivery with order) on the performance of stocks in the Taiwan stock market. It is found that warning announcements serve to improve the performance of stocks, except in the case of consecutive warnings. Generally speaking, the corrective measures taken after the consecutive warnings are able to reduce the volatility, the abnormal returns and the excess liquidity of the stocks.


Asia-pacific Journal of Financial Studies | 2001

The Probability of Informed Trading and the Performance of Stock in an Order-Driven Market

Tai Ma; Ming-hua Hsieh; Jang-hung Chen


Archive | 2008

Are Investors more Aggressive in Transparent Markets

Tai Ma; Yaling Lin


Journal of Financial Studies | 2011

Transparency, Information Content and Order Placement Strategy

Yaling Lin; Tai Ma


Accounting and Finance Research | 2012

Market Transparency, Investor Strategies, and Trading Costs: Evidence from the Taiwan Stock Exchange

Shu-Fan Hsieh; Hsiu-Kuei Chen; Tai Ma

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Hsiu-Kuei Chen

National Taichung University of Science and Technology

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Shu-Fan Hsieh

National Kaohsiung First University of Science and Technology

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Chien Huei Lai

National Sun Yat-sen University

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Ching Yi Yeh

National Sun Yat-sen University

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Huei Yun Hsu

National Sun Yat-sen University

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Jang-hung Chen

National Sun Yat-sen University

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Josephine Yang

National Sun Yat-sen University

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Kai Wei Chang

National Sun Yat-sen University

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Kuo Hsi Lee

National Sun Yat-sen University

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Kuo-Che Hung

National Sun Yat-sen University

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