Loc Dong Truong

Bio: Loc Dong Truong is an academic researcher. The author has contributed to research in topics: Futures contract & Stock exchange. The author has an hindex of 1, co-authored 2 publications receiving 1 citations.

The Impact of the Introduction of Index Futures on the Daily Returns Anomaly in the Ho Chi Minh Stock Exchange

Abstract: This study investigated the impact of the introduction of the VN30-Index futures contract on the daily returns anomaly for the Ho Chi Minh Stock Exchange (HOSE). Daily returns of the VN30-Index for the period 6 February 2012 through 31 December 2019 are used in this study to ascertain the new VN30-Index futures contract influence on the day-of-the-week anomaly observed in the HOSE. To test this effect, ordinary least square (OLS), generalized autoregressive conditional heteroskedasticity [GARCH (1,1)] and exponential generalized autoregressive conditional heteroskedasticity [EGARCH (1,1)] regression models were employed. The empirical results obtained from the models support the presence of the day-of-the-week effect for the HOSE during the study period. Specifically, a negative effect was observed for Monday. However, the analysis revealed that the day-of-the-week effect was only present in stock returns for the pre-index futures period, not for the post-index futures period. These findings suggest that the introduction of the VN30-Index futures contract had a significant impact on the daily returns anomaly in Vietnam’s HOSE, providing evidence that the introduction of the index futures contract facilitated market efficiency.

The january effect and lunar new year influences in frontier markets: evidence from the vietnam stock market

Abstract: This analysis investigates the influence of the timing of the Lunar New Year on the January effect for the Vietnam stock market. The data selected for this study is a weekly series of the market index (VN-Index) over the period from January 7, 2009 through December 26, 2018. To test for the presence of the January effect and the impact of timing of the Lunar New Year on the January anomaly, OLS and GARCH(1,1) regression models are employed. The empirical findings obtained from these models confirm the existence of the January effect during this period in the Vietnam stock market. However, the analysis reveals that the January effect is only in existence when the Lunar New Year is in February, but it is disappearing when the Lunar New Year falls in January. These findings suggest that Lunar New Year has a significant impact on the January anomaly in the Vietnam stock market providing evidence against tax loss selling while supporting other holiday and window dressing hypotheses for this widely documented seasonal phenomenon.

The January Seasonality and the Performance of Country-Level Value and Momentum Strategies

Abstract: The study examines the turn-of-the-year effect in the country-level value and momentum strategies. We re-examine eight distinct value and momentum strategies within 78 markets in the 1995‑2015 period and we test their performance for the seasonal patterns. We find that during the last 20 years the value strategies performed particularly well in January and poor in December. On the contrary, the momentum strategies had high returns in December and low in January. These observations are consistent with the explanations of the January seasonality related to the tax loss selling and window dressing effects.

The Influence of Information Transparency and Disclosure on the Value of Listed Companies: Evidence from Vietnam

Abstract: This analysis examines the influence of information transparency and disclosure on the value of companies listed on the Vietnamese stock market. Data employed in this study were primarily gathered from the audited financial statements, management reports and other related documents of 430 publicly traded firms listed on the Ho Chi Minh Stock Exchange (HOSE) and Ha Noi Stock Exchange (HNX) for the time period from 2014 through 2016. Using the GMM (Generalized Method of Moments) approach, the empirical findings indicate that the level of transparency and disclosure of the companies has a significant positive effect on firm value as measured by Tobin’s Q.

Calendar Anomalies in Islamic Frontier Markets

Abstract: This study investigates calendar anomalies in eight Islamic frontier markets. Our sample consists of the daily closing prices of their stock indices for the period of January 2006 to September 2019. The data are categorized with respect to day-of-the-week and month-of-the-year according to both the Gregorian and Islamic calendars. We control for time-varying systematic risk using Morgan Stanley Capital International (MSCI) index as the proxy for the market portfolio and apply Bonferroni correction to reduce the occurrence of false-positive results. We find little support for the proposition that any of the Islamic calendar months generate abnormal returns, bar a slight negative abnormal return during the holy month of Rajab for Kuwait. We find evidence of a small negative Monday effect for the stock markets of Bangladesh and Pakistan and a small positive January effect for the stock market of Morocco. The results support weak-form market efficiency, suggesting that investors in frontier stock markets should not expect to outperform the market on a consistent basis when trading on particular days of the week or months of the year according to the Islamic or Gregorian calendar.

Dynamic analysis of calendar anomalies in cryptocurrency markets: evidences of adaptive market hypothesis

Abstract: This paper analyses the effects known as the day of the week and the month of the year in the cryptocurrency markets. The closing values of eleven cryptocurrencies have been considered. The study employs dummy variable regression techniques, ANOVA and Friedman tests for assessing two calendar anomalies, the day-of-week and month-of-year effects. To test these calendar effects, we have applied both full sample and rolling-regression techniques for two lengths of the rolling sample intervals. Furthermore, we have examined the existence of long memory in day-of-the- week and month-of-the-year cryptocurrency returns. The results provide evidence about the existence of day-of-the-week and month-of-the-year effects in cryptocurrency returns, in particular, on Thursdays and in November. In addition, it should be added that the general results of the current study show that the calendar effect in the cryptocurrency market is dynamic rather than static, which indicates that the calendar effect is a phenomenon that varies over time.

An Event Study on the Reaction of Equity and Commodity Markets to the Onset of the Russia–Ukraine Conflict

Abstract: Using a standard event study methodology and the EGARCH model, this study examined the depth of market anomaly at the onset of the Russia–Ukraine conflict in 2022. Equity markets in Africa and G7 nations were analyzed for their varied political and economic connections to the conflict. While the G7 nations were strongly opposed to Russia, African countries remained neutral. This study shows that abnormal losses in the initial period of the conflict were larger and more persistent in the G7 markets, contradicting the widely held notion that more developed equity markets are more efficient than the less developed markets. EGARCH results revealed that volatility persistence was widely present, although the leverage effect was only confirmed for U.S. and Canada. Throughout the period, commodity prices rose sharply, producing significant abnormal gains in the futures market. Unfortunately, this had a deleterious effect on African economies due to their heavy reliance on grain and fuel imports, all of which are priced in U.S. dollars, and which also rose sharply during the period. This study concludes with suggestions on how to mitigate currency and commodity price shocks to dollar-reliant and import-dependent economies.