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"Ritter and Welch (2002) explain there are two types of IPO firms, namely higher quality firms and lower quality firms. This research propose the third type, namely bad IPO firms which manipulate and force IPO underpricing. Bad IPO firms are subset of lower quality IPO firms that force false signal as higher quality firms. The false signal was hidden by managing post-IPO trading. Trading management are indirectly funded by using balance sheet cash. Hypothesis testing with the empirical model 1 was to confirm the role of CashRatio as the moderating variable that interact DER to affect IPO underpricing which originally was not. The findings support the predictions that interactive variable DER*CashRatio affect IPO underpricing. A managed trading had a non negative profits constraint so that selective post-IPO trading was conducted to cause trading imbalance observable as skewed trading volume (Skewness). Subsequent tests with the empirical model 2 was to confirm the role of Skewness as the moderating variable that interact VolRatio to affect post-IPO stock return (RGM) which originally was not. The findings support the predictions that interactive variable LnVolRatio*Skew affect RGM. Both findings confirm this research predictions on the possibility of manipulated IPO trading in Indonesia IPO 2009-2012."

"Tujuan penelitian ini adalah untuk mengetahui pengaruh IPO Underpricing terhadap likuiditas saham di Bursa Efek Indonesia selama periode 2006-2011. Penelitian ini menggunakan dua pendekatan untuk menghitung variabel terikat (likuiditas saham), yaitu volume perdagangan saham (VOL) dan volume uang dalam perdagangan saham (DVOL). Begitu juga dalam menghitung variabel bebas (underpricing), menggunakan dua pendekatan yaitu UNDO dan UNDC. Dalam menghitung UNDO, harga saham yang digunakan adalah harga pembukaan hari pertama listing. Sedangkan untuk perhitungan UNDC, harga saham yang digunakan adalah harga penutupan hari pertama listing.Pengujian hipotesis penelitian ini menggunakan model regresi linear berganda dengan data cross section. Sampel dalam penelitian ini sebanyak 75 perusahaan yang melakukan IPO selama periode 2006-2011. Penelitian ini juga menggunakan tiga variabel kontrol, yaitu jumlah lembar saham yang ditawarkan saat IPO, harga perdana saham, dan umur perusahaan.Hasil penelitian menunjukkan bahwa underpricing berpengaruh positif signifikan terhadap volume perdagangan saham (VOL) di Bursa Efek Indonesia. Sedangkan untuk likuiditas dengan pendekatan volume uang (DVOL), underpricing tidak berpengaruh signifikan. Hal ini sejalan dengan penelitian yang dilakukan Zhen dan Li (2007) yang menyatakan bahwa underpricing berpengaruh positif terhadap volume transaksi. Zhen dan Li tidak menemukan hubungan yang konsisten antara underpricing dengan ukuran likuiditas lainnya.

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The objective of this research is to examine the effect of IPO Underpricing on stock liquidity in the Indonesian Stock Exchange during the period 2006-2011. This study used two approaches to calculate the dependent variable (stock liquidity), which are trading volume and volume of money in stock trading. In calculating the independent variable (underpricing), this study also uses two approaches, they are UNDO and UNDC. In calculating an UNDO, the share price used is the opening price of the first day of listing. In UNDC calculating, stock price used is the closing price of the first day of listing.

The hypothesis testing of this study using a multiple linear regression model with cross section data. The samples in this study were 75 companies. This study also used three control variables: the number of shares offered, the initial price of the stock, and firm age.

The results showed that underpricing is positively significant to trading volume (VOL) at the Indonesian Stock Exchange. The research also found that underpricing has no significant relation to the volume of money (DVOL). This is consistent with research conducted Zhen and Li (2007) which states that the underpricing positively related to the volume of transactions. Zhen and Li did not find any consistent relation between underpricing and other liquidity measures."

"The purpose of this research is to examine the influence of good corporate governance mechanismabout earnings management in companies listed in Indonesian Stock Exchange during 2006 to2010. The independent variables include the size of commissioner board, independent commissionerboard percentage, size of audit committee, and commissioner meeting frequency. The dependent variableis earnings management which is measured by discretionary revenue model (Stubben, 2010).Size of company is used as the control variable in this research. The population of this research is465 samples from companies listed at Indonesian Stock Exchange during 2006 to 2010. The samplingmethod used in this research is purposive sampling method. In addition, the data analysis methodused is regression analysis and descriptive statistics. The result of this research indicates that themechanism of good corporate governance which is represented by the size of commissioner board,independent commissioner board percentage, size of audit committee, and commissioner meeting frequencydo not have any significant impact on earnings management. However, the result shows thatcompany size gave positive influence toward earning management."

"In this study, we analyze contrarian and momentum strategies in periods associated with optimism or pessimism, and we compare them to the normal market sentiment condition. We evaluate the sentiment using the Arms adjusted index. Then, using the vector autoregressive test, we analyze the relationships among sentiment, stock returns, excess returns, and volatility. The results show that the formation of a short-term portfolio in one- and three-month periods of optimism and pessimism do not create additional returns and results in losses. In addition, the outcomes indicate that combining normal market sentiment with behavioral finance strategies increases performances, with more significant results seen using contrarian strategies compared to momentum strategies."

"The Indonesia Stock Exchange has really concerned about improving stock market quality thesedays. One of its effort is implementing pre-closing trading session. It refers to Decision of the Boardof Directors of The Indonesia Stock Exchange Number Kep-00399/BEI/11-2012, regarding Amendmentto Rule Number II-A concerning Equity-Type Securities Trading. The rule is effective on 2ndJanuary 2013 and Indonesia Stock Exchange has implemented it since that date. The purposes ofpre-closing implementation are to mitigate marking the close, which is the practice of buying securityat the very end of the trading day at a significantly higher price than the current price of the security,and to improve market quality. This paper attempts to veryfy whether the impact of pre-closing implementationto price efficiency is positive or not. The result shows that the pre-closing implementationhas positive impact to price efficiency. It reduces the return volatility and market manipulation at theclosing time which also means that the pre-closing implementation has effectively improved marketquality in the Indonesia Stock Exchange."

"This paper studies the impact of the stock market continuity on the returns volatility and on themarket efficiency in the Casablanca Stock Exchange. For the most active stocks, the trading mechanismused is the continuous market which is preceded by a call market pre opening session. Resultsobtained concerning return volatility and efficiency under the two trading mechanisms show that thecontinuous market returns are more volatile than the call market returns and 50% of stocks studiedshow independence between variations."

"Following the blueprint of the ASEAN integration 2015, the integration of the financial marketsin this region will increase. This study investigates the existence of a volatility spillover from the Singaporeanstock market into Indonesia, including its transmission pattern. Singapore, as an advancedcountry in the ASEAN region, has played an important role as the information leader in the market ofthis region, so that it is very possible that the shocks in the Singapore?s stock market will be transmittedto another stock market in this region. Using TGARCH (1,1) model specification regarding thedata of the daily return of the Indonesia market index (IHSG) for the period of January 2008 ? August2012, it is observed that the shock that took place in the Singapore stock market is immediately transmittedto the Indonesia stock market with two important asymmetric patterns. The transmission ofthe shock from the Singapore stock exchange becomes stronger when this market (1) experiences anegative return, and (2) is in the bearish phase."

"In this paper, we analyze the empirical relationship between stock return and trading volumebased on stock market cycles. Using daily data for Jakarta Composite Index (JCI) closing price andtrading volume from 2010 to 2014, we identify the bull and bear phases, then we analyze the return–volume relationship in both contemporaneous and dynamic context. We find that (1) there is a positivecontemporaneous return–volume relationship in both bull and bear markets, which is only significantin bull markets; (2) no evidence of asymmetry in contemporaneous relationship is found; and (3)there exists a positive unidirectional causality from stock return to trading volume. Our research hastwo implications. First, in the bull market, overconfidence may grow with long-lasting past successand there is also momentum or positive feedback trading. Second, stock return is able to forecasttrading volume. In addition, our findings are robust for different sample period and data frequency."

"Modeling the correlation of assets returns volatilities across different markets or segments of amarket has practical value for portfolio selection and diversification, market regulation, and riskmanagement. This paper therefore evaluates the nature of time-varying correlation between volatilitiesof stock market and crude oil returns in Nigeria using Dynamic Conditional Correlation-GeneralisedAutoregressive Conditional Heteroscedasticity (DCC-GARCH) model. Results from DCCGARCH(1,1) model show evidence of volatility clustering and persistence in Nigeria stock marketand crude oil returns. The results also show that there is no dynamic conditional correlation in ARCHeffects between stock market returns and crude oil prices in Nigeria. The results further show thatthere is strong evidence of time-varying volatility correlation between stock market and crude oilreturns volatility. The findings will help shape policy-making in risk management and market regulationin Nigeria."

"We extend the persistence and pervasiveness of the presence of value effect to Indonesian stockreturns in the last two decades by utilizing data set that is relatively free of survivor bias and selectionbias. Our finding shows that value portfolios have been able to outperform growth portfolios.Furthermore, the presence of the effect as an asset pricing factor, along with the size effect, can significantlyexplain the returns of the aggregate equity mutual funds in Indonesia and unveil that theequity mutual fund industry does not provide sufficient risk-adjusted return to cover trading costs andfund expenses. Our proposition is that the equity mutual fund valuation will be better off to apply simplermodel shown in this paper to capture the value premium as opposed to the general applicationof traditional valuation method."