Advances in Pacific Basin Business, Economics and Finance: Volume 10

This chapter investigates how market competition relates to firm corporate social responsibility (CSR) investment strategy. Using separate measures to capture different dimensions of competition, we find that firms are likely to invest more (less) in socially responsible initiatives when competition from existing rivals (potential entrants) is high. We also find that industry leaders are more likely to engage in more CSR when higher levels of competition exist, while followers primarily choose to strengthen other aspects of their competitiveness instead. Finally, analyzing the impact of CEO overconfidence on CSR engagement, our study finds novel evidence suggesting that firms with overconfident CEOs tend to underestimate the intensity of competition and are less sensitive to the impact of market competition on CSR engagement, relative to rational CEOs.

This research applies a static hedging portfolio method derived from Derman, Ergener, and Kani (1995) (henceforth Derman's SHP method) and a new SHP method with European cash-or-nothing binary options developed by Chung, Shih, and Tsai (2013) to price European continuous double barrier (ECDB) options and the rebates of the ECDB options. Our numerical results indicate that the new SHP method outperforms Derman's SHP method in terms of efficiency and effectiveness under all circumstances.

Peer-to-Peer (P2P) lending, which makes borrowers and investors meet directly through online platforms bypassing traditional financial institutions, is an emerging financing market after the traditional financial institutions crushed during the global financial crisis from 2007 to 2009. P2P lending platforms meet the credit demand more efficiently and play a vital role for the credit market and economic activity. This study sheds light on whether the credit spread of P2P lending is well predictive of economic activity compared to the bond credit spread which has been fully investigated in prior studies. Our findings show that the P2P credit spread performs similarly in predicting the economic activity as bond credit spread only during the financial crisis. However, the predictive power of P2P credit spread becomes inverse during the noncrisis periods since P2P lending platforms provide an alternative and easier financing channel to individuals who hardly borrow money for refinancing from traditional financial institutions. This study highlights the alternative role of P2P lending platform in financing and provides the evidence of different predictive powers of P2P credit spread on economic activity in different time periods.

This study develops an environment, social, and governance (ESG) momentum strategy by combining information about ESG scores and the momentum effect. This study, subsequently, applies the ESG momentum strategy to Taiwanese and Japanese stock markets and investigates the performance of the ESG momentum strategy in each market. Detailed comparisons of the ESG scores and ESG momentum performance between the two markets are conducted. The empirical results show that the ESG momentum strategy can obtain enhanced profits in the Taiwanese market, while the ESG momentum strategy cannot lead to substantial profits in the Japanese market. In addition, the ESG momentum effect in the Taiwanese market can last for three years after portfolio formation. In the Japanese market, the ESG contrarian strategy may deliver better profits than the ESG momentum strategy.

This chapter investigates attention theory by examining retail investors' true intention to purchase. Attention theory indicates that investors, and especially retail investors, typically invest in stocks about which they are aware. Previous studies test attention theory by analyzing stock price behavior or trading volume. However, stock prices and trading volume are primarily driven by institutional investors rather than retail investors. We examine investor attention using initial public offering (IPO) subscriptions in Taiwan because only retail investors are allowed to subscribe to Taiwanese IPOs. We use media coverage as a measure of passive retail investor attention and Google search volume as a measure of active retail investor attention. Our results reveal that active attention has a more profound relationship with retail investor IPO subscriptions than passive attention does. Additionally, information about the value of IPOs taken from trading prices in the pre-IPO market mitigates the effects of attention theory.

In response to the COVID-19 pandemic, which caused a downward trend in the US stock market, the Federal Reserve has implemented an innovative Corporate Credit Facility (CCF) program from March 23 to December 31, 2020. The CCF aims to purchase the eligible corporate bonds and ETFs under the Primary Market Corporate Credit Facility (PMCCF) and Secondary Market Corporate Credit Facility (SMCCF). Firstly, our result shows that the Corporate Credit Facility program has stabilized the return of the S&P 500 by 0.68 in variance reduction. Secondly, the SMCCF has exhibited a better effect on the stock market compared with PMCCF. The coefficient of SMCCF is statistically significant. However, announcement and PMCCF are not significant in the variance equation. Thirdly, the joint Wald test of PMCCF and SMCCF positively and significantly affect the return of the S&P 500, evidenced by the mean equation. Lastly, the announcement of CCF has an adverse effect on the S&P 500. It can be concluded that the Fed's Corporate Credit Facility has been innovative in combating the financial market's instability.

This chapter derives sentiment indicators (implied volatility and implied skewness) from the option pricing models of Corrado and Su (1996), Bakshi, Kapadia, and Madan (2003), and Zhang, Zhen, Sun, and Zhao (2017), and then integrates these sentiment indicators with artificial intelligence deep neural network (AIDNN) for developing the behavioral finance AIDNN (BFAIDNN) algorithms. We apply the BFAIDNN algorithms to daily derivatives data of Taiwan Futures and Options markets from 2015 to 2017. Our results demonstrate that the trading strategies established by the BFAIDNN algorithms can generate positive rewards.

Given the continuing growth in both the complexity and severity of cyber risk, a fundamental rethink of cyber risk management has become an issue of paramount importance, particularly as insurance firms are now providing both cyber risk management services and cyber risk insurance coverage. In this study, we set out to provide analyses of the prevailing cyber risk levels in various industries using the “Chronology of Data Breaches” database and then go on to assess the overall benefits of cyber risk insurance coverage. Our results reveal that compared to other industries, insurance firms exhibit superior cyber risk management. Regardless of internal and external cyber risk, insurance companies retain the lowest cyber losses. We further provide evidence to show that cyber risk insurance policies alone cannot effectively cover the potentially extreme cyber risk losses for most industries. However, the situation can be improved by implementing cyber risk management services provided by insurance firms. Insurance firms may need to provide an efficient cyber risk management system to lower the frequency and severity of extreme events.

The aim of this chapter is to examine the role of real exchange rates in the relationship between tourist arrival and economic growth in Malaysia over the period of 2000–2018. We disaggregate Malaysian tourists into six geographical regions, namely Asia, Singapore, Europe, Pacific region, Americas, and Africa. Using a non-linear autoregressive distributed lag model, we find that the appreciation of real exchange rates with positive growth of economy plays a prominent role in influencing international tourist arrivals from Singapore, other Asian countries, Pacific region, Europe, and Americas. Our study suggests that real appreciation is important in providing some insights into the effectiveness of growth-led-tourism policies. In line with this, some implications are provided at the end of this chapter.

This chapter explores the yield curve movements in the interest rate swap markets of four major currencies, the Japanese yen (JPY), the US dollar (USD), the pound sterling (GBP), and the Swiss franc (CHF), by principal component analysis (PCA), focusing on the explanatory power of each driver. Comparing the cumulative proportions of the first three principal components, the “level” changes seem to explain the yield curve movements far better than the “ratio” changes in the case of the JPY (96.1% vs. 38.3%) and CHF (97.2% vs. 41.9%), and they are only marginally worse for the USD (97.7% vs. 98.5%) and GBP (96.5% vs. 98.3%). In all markets, the explanatory power (proportion) of the first PC (PC1) is over 82%, and most of the movements can be explained by it. Furthermore, the explanatory power (cumulative proportion) from PC1 up to the third PC (PC3) is over 96%. Thus, it can be considered that most of the movements can be explained by the first three PCs. In addition, we investigate whether there is a structural change in yield curve movements before and after the global financial crisis of 2007–2008 (GFC). If we use daily “level” changes for the PCA, the GFC has no impact on the yield curve movements for all major currencies. The three PCs retain good explanatory power.

This chapter focuses on information efficiency as provided by fair value accounting (FVA) and corporate governance (CG) practices in an emerging market. Positive accounting theory was adopted as an empirical model to test the relationship between information efficiency and stock prices. Data for the period 2007–2020 from 576 listed firms on the Stock Exchange of Thailand were collected, tested, and analyzed using a fixed effect estimator. The results indicate that investors in the stock market trust the use of publicized efficient information as provided by FVA and CG practices in making their investment decisions, when FVA and CG proxies were found to significantly influence stock prices. Hence, this evidence implies that information efficiency leads to better firm values in an emerging market.