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This study aims to investigate the valuation accuracy of Malaysian initial public offerings (IPOs) by using price-multiple methods.

Cross-sectional data including 467 IPOs listed on the Malaysian stock exchange were used for the period of 2000–2017. This study used univariate ordinary least square (OLS) regression to analyse the relationship between IPOs’ price-multiples and comparable firms’ price-multiples. The test of valuation accuracy was conducted via computing valuation errors by segregating the sample into two groups: fixed-price IPOs and book-built IPOs. Furthermore, multiple OLS regression was used to examine the influence of IPO valuation on underpricing.

The findings of the results suggested that IPOs price-to-earnings (P/E), price-to-book (P/B) and price-to-sales (P/S) multiples were positively related to the median P/E, P/B and P/S multiples of five comparable firms matched by industry and revenues. The P/S multiple was shown to be the most significant valuation method, specifically in book-built IPOs. The findings indicated that those firms that had a lower valuation in comparison to the comparable firms were inclined to underprice their IPOs to allure investors to subscribe IPOs. In addition, book-built IPOs that had fair valuations were inclined to generate higher initial returns for investors.

The findings of this study observed implications for underwriters in avoiding the mis-valuation issue by considering the book-building mechanism.

This study attempted to explore the suitability of the valuation method to value IPOs in Malaysia.

The main purpose of this study is to examine the disclosure of earnings forecasts in firms' prospectuses to explain investor demands or, in other words, oversubscription rates of Malaysian initial public offerings (IPOs).

Ordinary least squares and robust methods were used to examine cross-sectional data comprising 466 fixed-price IPOs reported for the period from January 2000 to February 2020 on Bursa Malaysia.

The results showed that IPOs with earnings forecasts obtained higher oversubscription rates than those without earnings forecasts. IPOs with earnings forecasts provide value-relevant signals to prospective investors about the good prospects of firms, resulting in an increase in the demand for IPO shares. For the IPO samples listed during the global financial crisis (GFC) period, IPOs with earnings forecasts had negative impacts on the oversubscription rates. These results were robust to quantile methods and the two-stage least squares method.

The research findings provide fresh information for investors regarding the importance of earnings forecasts as a trustworthy signal of a firm’s quality when making share subscription decisions.

The regulator is advised to encourage issuers to include earnings forecasts in their prospectuses since such forecasts help to increase the demand for IPOs.

This study contributes to the literature by offering empirical evidence regarding the signalling impact of earnings forecast disclosures on investor demands for Malaysian IPOs. Moreover, this study provides evidence demonstrating the impact of earnings forecast disclosures on oversubscription rates of Malaysian IPOs during the GFC period.

Empirical examinations of initial public offering (IPO) initial returns often rely heavily on linear regression models. However, these models can prove inefficient owing to their susceptibility to outliers, a common occurrence in IPO data. This study introduces a machine learning method, known as random forest, to address issues that linear regression may struggle to resolve.

The study’s sample comprises 352 fixed-priced IPOs from the year 2004 until 2021. A unique aspect of this research is its application of the random forest method. The accuracy of random forest in comparison to other methods is evaluated. The findings indicate that the random forest model significantly outperforms other methods in all of the evaluated aspects.

The variable importance measure indicates that investors’ demand, divergence of opinion among investors and offer price are the most crucial predictors of IPO initial returns. These determinants hold particular significance due to the widespread use of the fixed-price method in Malaysia, as this method amplifies the information asymmetry in the IPO market.

To the best of the authors’ knowledge, this study is among the pioneering works in Malaysian literature to apply the random forest method to address the constraints of conventional linear regression models. This is achieved by considering a more extensive array of factors and acknowledging the influence of outliers. Additionally, this study adds value to Malaysian literature by ranking and identifying the ex-ante information that best signals the issuing firm’s quality. This contribution facilitates prospective investors’ decision-making processes and provides issuing firms with effective means to communicate their value and quality to the IPO market.

Rule of law is essential in reducing corruption in a country. This study aims to investigate the factors contributing to corruption in 41 of the most competitive countries in the Asia-Pacific region by focusing on judicial effectiveness, property rights and government integrity. The moderating role of regulatory quality was also considered in the attempt to explain the association among rule of law and corruption.

This study used pooled ordinary least squares regression and generalized method of moments-dynamic panel for the robustness test on data of 41 Asia-Pacific countries spanning from 2013 to 2021.

Property rights and government integrity were found to be negatively significant in explaining corruption. In contrast, the interaction between rule of law and regulatory quality had a significant positive association with corruption. The findings bring to light Asia-Pacific countries’ need for more effective control of corruption.

The authorities should work towards enhancing the countries’ image as corruption-free nations by creating a stable economic and political environment and preserving macroeconomic stability through strengthened rule of law.

Previous research looked at The Association of Southeast Asian Nations and South Asian countries, but little attention was given to Asia-Pacific countries in examining the relationship between rule of law and corruption.

This paper aimed to explore the effect of a regulatory change pertaining to earnings forecasts disclosure from a mandatory to a voluntary regime on the valuation of Malaysian initial public offerings (IPOs).

The study employed ordinary least square (OLS) regression and quantile regression to analyse the impact of disclosure of earnings forecasts regulation on the valuation of IPOs which comprised 458 IPOs reported for the period 2000–2017 on Bursa Malaysia.

This paper revealed that the regulatory change in forecasted earnings disclosure from a mandatory to a voluntary regime, effective from 1 February 2008, had a negative impact on the valuation of IPOs. The regime change did not improve the transparency of firms issuing IPOs. In fact, the absence of forecasted earnings information in most IPO prospectuses caused ex ante uncertainties to increase. Voluntary disclosure, however, had a significant positive relationship with the valuation of the IPOs issued during the global financial crisis period (2008–2010). Firms concealed their poor qualities by excluding forecasted earnings information from their prospectuses in order to have a fair valuation.

The findings may be used by policymakers as guidance in improving the existing regulation regarding the disclosure of forecasted earnings.

This paper provides new insight on the effect of a regulatory change pertaining to earnings forecasts disclosure from a mandatory to a voluntary regime on the valuation of Malaysian IPOs. It also provides evidence that the regulatory change of earnings forecast disclosure affects the IPOs' values listed during the global financial crisis period.

This study investigated the effect of pricing mechanism and oversubscription on the heterogeneity of investors' opinions on initial public offering (IPO) valuation.

Besides the ordinary least square method, this study incorporated robust least square, stepwise least square and quantile regression methods to investigate the aftermarket behaviour of investors using the price range on the first day of trading of 82 IPOs listed on the Pakistan stock exchange.

The aftermarket behaviour of investors was found to be significantly influenced by the pricing mechanism, oversubscription, financial leverage, political stability and the risk of IPO, whereas control of corruption showed an insignificant impact. Concurrently, the findings showed that pricing mechanism and oversubscription played a crucial role in determining the intensity of investors' heterogeneous opinions at high levels of significance.

Pricing mechanism and oversubscription not only signal the quality of IPOs but also provide an important means for reducing the information asymmetry associated with new listings. Based on the literature review, it was found that both the pricing mechanism and oversubscription have yet to be explored in investigating the aftermarket behaviour of investors using the price range in the Pakistan IPO market. This study suggests that book building pricing mechanism and oversubscription are associated with lower heterogeneity in investors’ opinions at a high level of significance.

This study aims to examine the impact of sponsors and democratic government on the flipping activity of initial public offerings (IPOs).

Based on the sample of 95 IPOs listed on the Pakistan Stock Exchange between January 2000 and December 2019, this study used multiple cross-sectional regression to examine the relationship between sponsors and democratic government on flipping activity.

The findings indicate a significant negative association between sponsors and the flipping activity of IPOs. Sponsor(s) signal quality by trying to share accurate information about company values. As a result, the confidence of rational investors in the company’s future prospectus increases and they hold their shares for future gains, which reduces the flipping activity. Also, democratic government, along with sponsors' participation, provides investors with liquidity immediately after listing.

The findings of this study have implications for investors as they may assist them make informed decisions about whether or not to invest in an IPO with high sponsor(s) ownership. In addition, issuers should consider the disclosure of sponsor information(s) as such information may directly affect the first day’s trading volumes.

To the best of the authors’ knowledge, this is the first research study that explores the correlation between sponsors and democratic government and flipping activity of IPO. This study is important for investors and issuers.

The purpose of this study is to examine the influence of underwriter reputation on the valuation of Malaysian initial public offerings (IPOs).

This study employed cross-sectional multiple regression models to analyse the relationship between underwriter reputation and IPO valuation that included 466 IPOs listed on Bursa Malaysia from 2000 to 2017.

The results revealed that underwriter reputation had a significant negative association with IPO valuation. Firms that engaged the services of reputable underwriters had their IPO offer prices set lower than the intrinsic values during the listing. After incorporating firms' size, this study found a positive relationship between underwriter reputation and IPO valuation. Big firms (high quality) hired reputable underwriters for certification purposes as issuers were aware that the cost of hiring a reputable underwriter would be justified by increased transparency after listing. Therefore, firms that engaged reputable underwriters had approximately fair values since issuers assumed that the price would be close to the intrinsic value following enhanced transparency post-listing.

Future studies should focus on other non-financial factors, such as auditor reputation.

The present study provides new insights into the certification role of underwriters in valuing IPOs in the Malaysian market.

This study aims to examine the changes in equity guidelines and initial returns in the Malaysian initial public offering (IPO) market.

The study uses cross-sectional data over 16 years from 2000 to 2016. It uses ordinary least squares for the baseline model and incorporates an interaction term, quantile regression, quadratic term, break test and logit regression model for further analysis.

The results support the propositions that lockup provisions signal commitment and demand increase initial returns. The revision in the Bumiputera equity requirement means that issuers no longer need to discount offer prices to entice investors. Finally, the revised Sharīʿah-compliance screening requirement ensures that stocks are better in quality and more transparent, leading to a higher demand that drives prices upwards.

This study’s findings provide insights into how issuers can secure good subscriptions. Besides, policymakers should ensure that firms disclose the required information in their prospectuses.

This study adds to the body of knowledge on whether and how the regulatory requirements affect IPO initial returns.

The objectives of this study are twofold. First, it intends to investigate the symmetric link between initial public offering (IPO) variability and the determinants of the stock market index, treasury bill rate, inflation, GDP growth rate and foreign direct investment. Second, this study intends to examine the asymmetric link between IPO variability and the aforementioned determinants, namely the stock market index, treasury bill rate, inflation, GDP growth rate and foreign direct investment.

Data from 1992 to 2018 were gathered from the country of Pakistan in order to achieve the above objectives. Augmented Dickey–Fuller (ADF) and Phillips Perron (PP) unit root tests were employed to determine the data's stationarity properties. The Auto Regressive Distributive Lags (ARDL) model was utilized to examine the symmetric links, and the Non-Linear Auto Regressive Distributive Lag Model (NARDL) was employed to determine the asymmetric links. While the long-run co-integration was examined using the ARDL bound test, the short-run dynamics were tested using the error correction method (ECM).

The macroeconomic variables of the stock market index, treasury bill rate, inflation, GDP growth rate and foreign direct investment are found to pose significant short-run and long-run symmetric and asymmetric effects on IPO variability. These results indicate the significance of the aforementioned variables in enhancing IPO variability. The findings also demonstrate the typical reactions of inflation, GDP and FDI towards negative and positive shocks in IPO variability and inflation. This evidence implies that Pakistan's poor capital market development is reflected in the country's weak macroeconomic factors. At the same time, the reduced IPO variability in the country also reflects the lack of confidence among prospective issuers and investors due to Pakistan's weak macroeconomic indicators.

This is the first study of its kind to properly investigate the symmetric and asymmetric effects of the macroeconomic variables on Pakistan's IPO variability.