Purpose This paper aims to provide swift feedback to readers and investors on the early effect of novel coronavirus (COVID-19) pandemic outbreak on tourism industry. Design/methodology/approach Three leading consolidators of hotel accommodations, airline tickets and travel services in the tourism industry around the globe, namely, Booking Holdings Inc., Expedia Group and Trip.com Group Ltd. are chosen in this study. First, numerical description is performed on their shares prices and a set of control variables to compare their performances before and during the lockdown because of COVID-19 outbreak. Next, this paper estimates ordinary least squares models with and without exponential generalized autoregressive conditional heteroskedastic specification to establish the nature, significance and magnitude of the pandemic’s early effect on the shares performance of these online travel companies (OTCs). Findings This paper discovers a rapid decline in the performance of tourism industry amid the pandemic outbreak, from the perspective of three leading OTCs, which derive their profits from tourists by providing them online hotel reservation, air-ticketing and packaged-tour business services around the globe. These significant adverse direct and indirect effects testify that tourism-related businesses are extensively locked down by the pandemic outbreak. Research limitations/implications Future studies are encouraged to examine each of the tourism sectors for individual effects. Practical implications This paper provides implications for investors to protect their wealth, and for policymakers to ensure sustainability of tourism industry in the pandemic outbreak and in the future. Originality/value From the perspective of corporate finance, this paper empirically quantifies the early effect of COVID-19 on tourism industry for a quick snapshot.

By applying the newly developed nonlinear stationary test advanced by Kapetanios et al. [Journal of Econometrics 112 (2003) 359] in examining the stationary property of 11 Asian real exchange rates, this paper rejects unit root in 8 US dollar-based and 6 Japanese yen-based rates, whereas the augmented Dickey-Fuller (ADF) test has led to no rejection at all. D 2004 Elsevier B.V. All rights reserved.JEL classification: F31

Chong and Ng (2008) find that the Moving Average Convergence-Divergence (MACD) and Relative Strength Index (RSI) rules can generate excess return in the London Stock Exchange. This paper revisits the performance of the two trading rules in the stock markets of five other OECD countries. It is found that the MACD (12,26,0) and RSI(21,50) rules consistently generate significant abnormal returns in the Milan Comit General and the S&P/TSX Composite Index. In addition, the RSI(14,30/70) rule is also profitable in the Dow Jones Industrials Index. The results shed some light on investors' belief in these two technical indicators in different developed markets.

During the latest episode of general election held in Malaysia, it is observed that the FBMKLCI index was lifted 62.52 points in a day soon after the announcement of election outcome. Moreover, the index registered a highest gain of 96.29 points in the middle of the intra-day trade. This suggests that investors who had got the right direction could make profitable intra-day trading the next trading day of the general election date. Results from statistical analysis uncover significant before-election-effect and after-election-effect from the most recent general elections held in Malaysia. Different subsets of macroeconomic variables are found to have significant role on stock market return depending on the market situation. Remarkably, when there was close fight between the two major political parties during the 2008 and 2013 election years, political uncertainty showed up its negative and significant role in influencing the stock market return. The major implication of these findings is that while investors may seek abnormal returns before and after the next general election, which is around the corner, they will have to pay attention on the influence of macroeconomic variables and political uncertainty on stock market return during the election year.

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Utilizing the formal linearity test of Luukkonen, Saikkonen and Tera¨svirta (Biometrika, 75, 491-99, 1998) as diagnostic tool, the empirical finding suggests that the linear autoregressive (AR) model is inadequate in describing the real exchange rates behaviour of 11 Asian economies. It is noted that the conventional battery of diagnostic tests is capable of identifying the inadequacy of the linear model in only three of these series. Moreover, the linearity nature of this behaviour has been formally rejected in favour of the non-linear smooth transition autoregressive (STAR) model. The finding of non-linearity in the data generating process of these real exchange rates warrants that the use of linear framework in empirical modelling and statistical testing procedures in the field of exchange rates may lead to an inappropriate policy conclusions.

This study employs the Hinich portmanteau bicorrelation test (Hinich 1996; Hinich and Patterson 1995) as a diagnostic tool to determine the adequacy of Generalised Autoregressive Conditional Heteroscedasticity (GARCH) models for eight Asian stock markets. The bicorrelation test results demonstrate that this type of model cannot provide an adequate characterisation for the underlying process of all the selected Asian stock markets. Further investigation using the windowed test procedure reveals that the violation of the covariance stationarity assumption as required by the GARCH process is due to the presence of transient epochs of dependencies in the data. The inadequacy of GARCH models has strong implications for the pricing of stock index options, portfolios selection, development of optimal hedging techniques and risk management.

The Movement Control Order (MCO) not only restricts movement of human being, it also reduces firms’ financial profits and brings significant impact to stock returns. The objective of this study is to examine the relation between Malaysian stock market returns and variables related to the novel Coronavirus (COVID-19) pandemic outbreak. The FTSE Bursa Malaysia KLCI Index and eight selected main indices from 2 January 2020 to April 30, 2020, which includes the first three MCOs, are considered in this study. The results show that daily new confirmed COVID-19 cases and deaths had negative but insignificant impact on the returns on indices. Interestingly, MCO had significant and positive impact on all the indices’ returns while oversea financial risks had negative impact on these returns. Furthermore, it is found that the degree of impacts of MCO and oversea financial risks varied positively with the firm size of the indices’ constituent companies. China’s decision on unchanged loan prime rate on the 20 February 2020 was a favorable news to the Malaysia stock markets as indicated by the positive returns on all the indices. Similarly, the degree of impact of the China interest policy also varied positively with the firms’ characteristics. These findings are useful for investors in the Bursa Malaysia to manage their investment portfolios based on their appetites for risk.