Stock returns in Chinese markets and lucky numbered days

2015 ◽  
Vol 41 (9) ◽  
pp. 925-939 ◽  
Author(s):  
K. Stephen Haggard

Purpose – The purpose of this paper is to examine the stock return impact of “lucky” numbered days in markets dominated by Chinese participants. The existence of such patterns might present arbitrage opportunities for investors who do not share a belief in the Chinese system of “lucky” numbers. Design/methodology/approach – In univariate and multivariate analyses, the author examines the statistical significance of return differences between “lucky” numbered days and other days. The author examines samples which only consider single digit days and months, and the author also considers samples based on the last digit of the day or month. Based on the findings in these tests, the author designs and tests a trading strategy on the Shenzhen Exchange that produces significant risk-adjusted returns in excess of the buy-and-hold return on the Shenzhen Composite Index. Findings – The author shows that “lucky” numbered dates impact stock returns in Chinese markets and demonstrate a “lucky” number date trading strategy for the Shenzhen market that produces risk-adjusted returns in excess of the market return. Originality/value – Prior research on home address numbers and stock trading codes shows that, in markets dominated by Chinese participants, assets with identifiers containing numbers defined by Feng Shui as “lucky” sell at a premium and assets with identifiers containing “unlucky” numbers sell at a discount. In such markets, prices are more likely to end in a “lucky” number than an “unlucky” number. Chinese firms also tend to price their shares at IPO using “lucky” numbers and avoiding “unlucky” numbers. The author extends this literature to examine whether dates containing “lucky” and “unlucky” numbers experience stock returns significantly different than other days on Chinese stock exchanges.

2020 ◽  
Vol 4 (2) ◽  
pp. 111-127
Author(s):  
Pierre Rostan ◽  
Alexandra Rostan ◽  
Mohammad Nurunnabi

Purpose The purpose of this paper is to illustrate a profitable and original index options trading strategy. Design/methodology/approach The methodology is based on auto regressive integrated moving average (ARIMA) forecasting of the S&P 500 index and the strategy is tested on a large database of S&P 500 Composite index options and benchmarked to the generalized auto regressive conditional heteroscedastic (GARCH) model. The forecasts validate a set of criteria as follows: the first criterion checks if the forecasted index is greater or lower than the option strike price and the second criterion if the option premium is underpriced or overpriced. A buy or sell and hold strategy is finally implemented. Findings The paper demonstrates the valuable contribution of this option trading strategy when trading call and put index options. It especially demonstrates that the ARIMA forecasting method is a valid method for forecasting the S&P 500 Composite index and is superior to the GARCH model in the context of an application to index options trading. Originality/value The strategy was applied in the aftermath of the 2008 credit crisis over 60 months when the volatility index (VIX) was experiencing a downtrend. The strategy was successful with puts and calls traded on the USA market. The strategy may have a different outcome in a different economic and regional context.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Quang Thi Thieu Nguyen ◽  
Dao Le Trang Anh ◽  
Christopher Gan

PurposeThis study investigates the Chinese stocks' returns during different epidemic periods to assess their effects on firms' market performance.Design/methodology/approachThe study employs an event study method on more than 3,000 firms listed on Shanghai and Shenzhen stock exchanges during periods of SARS, H5N1, H7N9 and COVID-19FindingsEpidemics' effect on firms' stock returns is persistent up to 10 days after the event dates. Although the impact varies with types and development of the disease, most firms experience a negative impact of the epidemics. Among the epidemics, COVID-19 has the greatest impact, especially when it grows into a pandemic. The epidemics' impact is uneven across industries. In addition, B-shares and stocks listed on Shanghai Stock Exchange are more negatively influenced by the epidemic than A-shares and those listed on Shenzhen Stock Exchange.Research limitations/implicationsThe results of the study contribute to the limited literature on the effects of disease outbreaks as an economic shock on firm market performance. Given the possibility of other epidemics in the future, the study provides guidance for investors in designing an appropriate investing strategy to cope with the epidemic shocks to the market.Originality/valueThe research is novel in the way it compares and assesses the economic impact of different epidemics on firms and considers their impact at different development stages.


2014 ◽  
Vol 40 (7) ◽  
pp. 646-661 ◽  
Author(s):  
Wael Mostafa

Purpose – Many studies examine the relative information content of earnings and cash flows from operations. Most studies find that earnings have higher information content than cash flows. An interesting question that follows is whether these findings hold after controlling the extremity of earnings and cash flows. The purpose of this paper is to examine the relative information content of earnings and cash flows in the following four different cases: first, moderate earnings vs moderate cash flows, second, extreme earnings vs moderate cash flows, third, moderate earnings vs extreme cash flows, and fourth, extreme earnings vs extreme cash flows. Design/methodology/approach – To assess the relative information content of earnings and cash flows for each of the four cases mentioned above, the authors compare the explanatory power for regression of returns on unexpected earnings relative to regression of returns on unexpected cash flows. Therefore, the author compares the adjusted R2 of the model with earnings variables and the model with cash flows variables using Vuong's test, that examines the statistical significance of the difference between adjusted R2s of the rival (non-nested) models, and interpret a statistically higher adjusted R2 as an indicator for higher relative information content. Findings – The results show that: first, when both earnings and cash flows are moderate, earnings are more highly associated with stock market price changes than cash flows, second, when both earnings and cash flows are extreme, earnings also have greater relative information content than cash flows, third, when the extremity differs between earnings and cash flows, the moderate variable is superior to the other extreme variable in explaining security returns. These results suggest that earnings are definitely more value relevant than cash flows. However, only in cases when cash flows from operations are moderate and earnings are extreme, cash flows possess higher information content than earnings. Practical implications – The explanatory power for stock returns will be higher for earnings or cash flows depending on which is more highly persistent. This result reverses the conventional finding of the superiority of earnings over cash flows in explaining security returns. Originality/value – In contrast to previous studies, the authors control for the extremity of earnings and cash flows when evaluating the relative information content of earnings and cash flows from operations.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Masood Tadi ◽  
Irina Kortchemski

Purpose This paper aims to demonstrate a dynamic cointegration-based pairs trading strategy, including an optimal look-back window framework in the cryptocurrency market and evaluate its return and risk by applying three different scenarios. Design/methodology/approach This study uses the Engle-Granger methodology, the Kapetanios-Snell-Shin test and the Johansen test as cointegration tests in different scenarios. This study calibrates the mean-reversion speed of the Ornstein-Uhlenbeck process to obtain the half-life used for the asset selection phase and look-back window estimation. Findings By considering the main limitations in the market microstructure, the strategy of this paper exceeds the naive buy-and-hold approach in the Bitmex exchange. Another significant finding is that this study implements a numerous collection of cryptocurrency coins to formulate the model’s spread, which improves the risk-adjusted profitability of the pairs trading strategy. Besides, the strategy’s maximum drawdown level is reasonably low, which makes it useful to be deployed. The results also indicate that a class of coins has better potential arbitrage opportunities than others. Originality/value This research has some noticeable advantages, making it stand out from similar studies in the cryptocurrency market. First is the accuracy of data in which minute-binned data create the signals in the formation period. Besides, to backtest the strategy during the trading period, this study simulates the trading signals using best bid/ask quotes and market trades. This study exclusively takes the order execution into account when the asset size is already available at its quoted price (with one or more period gaps after signal generation). This action makes the backtesting much more realistic.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mohammed Mohammed Elgammal ◽  
Fatma Ehab Ahmed ◽  
David Gordon McMillan

Purpose This paper aims to ask whether a range of stock market factors contain information that is useful to investors by generating a trading rule based on one-step-ahead forecasts from rolling and recursive regressions. Design/methodology/approach Using USA data across 3,256 firms, the authors estimate stock returns on a range of factors using both fixed-effects panel and individual regressions. The authors use rolling and recursive approaches to generate time-varying coefficients. Subsequently, the authors generate one-step-ahead forecasts for expected returns, simulate a trading strategy and compare its performance with realised returns. Findings Results from the panel and individual firm regressions show that an extended Fama-French five-factor model that includes momentum, reversal and quality factors outperform other models. Moreover, rolling based regressions outperform recursive ones in forecasting returns. Research limitations/implications The results support notable time-variation in the coefficients on each factor, whilst suggesting that more distant observations, inherent in recursive regressions, do not improve predictive power over more recent observations. Results support the ability of market factors to improve forecast performance over a buy-and-hold strategy. Practical implications The results presented here will be of interest to both academics in understanding the dynamics of expected stock returns and investors who seek to improve portfolio performance through highlighting which factors determine stock return movement. Originality/value The authors investigate the ability of risk factors to provide accurate forecasts and thus have economic value to investors. The authors conducted a series of moving and expanding window regressions to trace the dynamic movements of the stock returns average response to explanatory factors. The authors use the time-varying parameters to generate one-step-ahead forecasts of expected returns and simulate a trading strategy.


2015 ◽  
Vol 27 (1) ◽  
pp. 51-68 ◽  
Author(s):  
Hamish Anderson ◽  
Ben Marshall ◽  
Xiao Wang

Purpose – This paper aims to examine whether the cross-sectional return patterns in New Zealand’s main stock market (NZSX) are also present in the alternative (NZAX) and over-the-counter (Unlisted) markets. Design/methodology/approach – Cross-sectional regressions of monthly stock returns on well-known pricing factors including firm size, book-to-market (B/M) ratio, liquidity and past returns were run. The NZSX sample commenced in 1988 and continued through to 2011, while data are available for the Unlisted and NZAX markets from 2004 to 2011. Findings – The pricing factors that are important in explaining returns in major international markets also influence returns on the NZSX. However, only B/M is consistently priced across all New Zealand stock exchanges, including the alternative NZAX and Unlisted markets. There is evidence of reversal in NZAX stocks, but liquidity effects are not consistent or pervasive in either market. Practical implications – With B/M being the only consistently priced variable across all markets, investors in the NZAX and in particular Unlisted may be concerned with other risk factors. For example, the risks associated with differing levels of investor protection, corporate governance and disclosure may be of more concern to investors than pricing factors such as size, liquidity and past returns in these alternative trading platforms. Originality/value – The paper examines cross-sectional return patterns of the NZAX and Unlisted stocks and is the first paper to jointly test the explanatory power of size, B/M, past returns and liquidity factors for NZSX stocks.


2016 ◽  
Vol 42 (11) ◽  
pp. 1110-1124
Author(s):  
Tony Chieh-Tse Hou ◽  
Phillip McKnight ◽  
Charlie Weir

Purpose The purpose of this paper is to investigate the role of earnings forecast revisions by equity analysts in predicting Canadian stock returns Design/methodology/approach The sample covers 420 Canadian firms over the period 1998-2009. It analyses investors’ reactions to 27,271 upward revisions and 32,005 downward revisions of analysts’ forecasts for Canadian quoted companies. To test whether analysts’ earnings forecast revisions affect stock return continuation, forecast revision portfolios similar to Jegadeesh and Titman (2001) are constructed. The paper analyses the returns gained from a trading strategy based on buying the strong upward revisions portfolio and short selling the strong downward revisions portfolio. It also separates the sample into upward and downward revisions. Findings The authors find that new information in the form of analyst forecast revisions is not impounded efficiently into stock prices. Significant returns persist for a trading strategy that buys stocks with recent upward revisions and short sells stocks with recent downward revisions. Good news is impounded into stock prices more slowly than bad news. Post-earnings forecast revisions drift is negatively related to analyst coverage. The effect is strongest for stocks with greatest number of upward revisions. The introduction of the better disclosure standards has made the Canadian stock market more efficient. Originality/value The paper adds to the limited evidence on the effect of analyst forecast revisions on the returns of Canadian stocks. It sheds light on the importance of analysts’ earnings forecast information and offers support for the investor conservatism and information diffusion hypotheses. It also shows how policy can improve market efficiency.


2018 ◽  
Vol 14 (3) ◽  
pp. 322-341 ◽  
Author(s):  
Robert Martin Hull ◽  
Sungkyu Kwak ◽  
Rosemary Walker

Purpose The purpose of this paper is to determine if hedge fund variables (HFVs) are associated with short-run daily buy and hold abnormal returns (BHARs) for a 30-day window around announcement dates for seasoned equity offerings (SEOs). Design/methodology/approach This paper utilizes the event study metric that computes BHARs. These BHARs are used in a regression model as dependent variables with HFVs and nonhedge fund variables (NFVs) as independent variables. For regression tests, standard errors are clustered at the month level. Findings This paper offers three new findings. First, HFVs are significantly associated with SEO BHARs. Second, HFVs are capable being associated with stronger statistical significance compared to NFVs. Third, not using HFVs can produce an omitted-variable bias. Research limitations/implications This paper does not have information on which individual hedge funds use a strategy during the month of the offering but only the proportion of hedge funds that do. A research implication is the proportion can be associated with SEO BHARs in a fashion predicted based on a long or short position. Practical implications Hedge funds can use trading strategies to capitalize on established patterns of price behavior. Social implications Hedge funds enjoy a trading advantage over smaller investors. Originality/value This paper is the first study to document the association between hedge fund stratagems and stock returns around a major corporate event. It shows researchers should consider institutional trading strategies when studying the market response to a major corporate event.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Irfan Ali ◽  
Waheed Akhter ◽  
Naukhaiz Chaudhry

Purpose The Islamic Holy days are among the most celebrated spiritual traditions in the world and are observed by more than 1.5 billion Muslims. This study aims to investigate the effect of these events on the regular returns of stock exchanges in selected Muslim countries. Design/methodology/approach This study examines data from eight Asian and African stock exchanges from 2001 to 2019. Isolating the effect of Gregorian calendar anomalies, it aims to evaluate the effect of Islamic Holy days on stock returns by running a pooled random effect panel regression on all the stock exchanges examined. Findings The results reveal the positive impact of Eid-ul-Fitr on Asian markets, the negative impact of Eid Milad-un-Nabi on the African stock market’s returns and the positive effect of the Holy month of Ramadan on both markets. Some Gregorian calendar anomalies also were found in these markets. Practical implications The research has significant implications for marketing professionals to recognize business opportunities and investors to efficiently manage their stock portfolio during Islamic events of Eid-ul-Fitr, Eid Milad-un-Nabi and Ramadan in relevant Muslim countries. Originality/value Given the research gap between Gregorian and Islamic calendar anomalies, this paper contributes by combining the effect of Islamic Holy days on the returns of selected Muslim-dominated financial markets.


2016 ◽  
Vol 33 (9) ◽  
pp. 1311-1331 ◽  
Author(s):  
Nadeeka Premarathna ◽  
A. Jonathan R. Godfrey ◽  
K. Govindaraju

Purpose The purpose of this paper is to investigate the applicability of Shewhart methodology and other quality management principles to gain a deeper understanding of the observed volatility in stock returns and its impact on market performance. Design/methodology/approach The validity of quality management philosophy in the context of financial market behaviour is discussed. The technique of rational subgrouping is used to identify the observable variations in stock returns as either common or special cause variation. The usefulness of the proposed methodology is investigated through empirical data. The risk/return and skewness/kurtosis trade-offs of S&P 500 stocks are examined. The consistency of this approach is reviewed by relating the separated variability to “efficient market” and “behavioural finance” theories. Findings Significant positive and negative risk/return trade-offs were found after partitioning the returns series into common and special cause periods, respectively, while total data did not exhibit a significant risk/return trade-off at all. A highly negative skewness/kurtosis trade-off was found in total and special cause periods as compared to the common cause periods. These results are broadly consistent with the theoretical concepts of finance and other empirical findings. Practical implications The quality management principles-based approach to analysing financial data avoids the complexities commonly found in stochastic-volatility forecasting models. Social implications The results provide new insights into the impact of volatility in stock returns. They should have direct implications for financial market participants. Originality/value The authors explore the relevance of Shewhart methodology in analysing variability in stock returns through reviewing financial market behaviour.


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