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The stock market in the Kingdom of Saudi Arabia is quickly developing and maturing. While the inefficiencies of this market have already been attributed to its mechanics (Abdeen and Shook, 1984; Butler and Malaikah, 1992; Abdelkader, 1993), information concerning the market players has not been available. This research reports descriptive results of 74 interviews with Saudi investors. The results provide insight into the information that is used for investing decisions, support prior evidence of market inefficiency, and encourage more research in this area.

The paper investigates the dynamic relationship between oil prices, the USA dollar exchange rate and the Saudi stock market index.

The authors perform a novel dynamic simulated the autoregressive distributed lag (ARDL) on weekly data from 2010 to 2021.

The authors' work reveals three main results: First, a cointegration relationship exists between oil prices and the Saudi stock market index. Second, the Saudi stock market is strongly affected by fluctuations in oil prices in both the short and long run. Third, the exchange rate of the USA dollar has a slight influence on the movements of the Saudi stock market. The simulations show that the Saudi stock market index has a long-run upward trend after an oil price shock, while the dollar index rises moderately after a similar shock. Moreover, the first months of the COVID-19 pandemic coincided with a significant decline in the Saudi stock market index, particularly the substantial drop in oil prices.

These findings encourage domestic and foreign investors to benefit from an upward trend in oil prices, especially after the opening of the Saudi market to foreign investment. On the other hand, it raises questions about the Saudi economy's dependence on oil as the sole vehicle for output growth. It highlights the urgent need for diversification and productivity growth in the non-oil sector and other renewable natural resources to increase Saudi competitiveness.

The novelty of the research lies in the following. First, the authors apply one of the latest developments in time-series modeling techniques. This dynamic ARDL simulation model provides a worthwhile alternative way to explore dynamic correlations in the short and long run and assess the choc effects. Secondly, the study would enable us to track the impact of the COVID-19 health crisis on the Saudi stock market.

The main purpose of this paper is to investigate autocorrelation structure of stock and portfolio returns in a unique market setting of Saudi Arabia, where nearly all active traders are the retail individuals and the market operates under severe limits to arbitrage. Specifically, the authors examine how return autocorrelation of Saudi Arabian stock market is related to factors such as the day of the week, stock trading, performance on the preceding day and volatility.

The sample consists of the daily stock price and index data of 159 firms listed in Tadawul (Saudi Arabian Stock Exchange) for the period from January 2004 through December 2015. The methodology of Safvenblad (2000) is primarily used to investigate the autocorrelation structure of individual stock and index returns. The authors also use the Sentana and Wadhwani (1992) methodology to test for the presence of feedback traders in the Saudi stock market.

Results show that there is significantly positive autocorrelation in individual stock, size portfolio and market returns and that the last two are almost always larger than the first. Return autocorrelation is negatively related to firm size. Interestingly, return autocorrelation is positively related to trading frequency. For portfolios, autocorrelation of returns following a high absolute return day is significantly higher than that following a low absolute return day. Similarly, return autocorrelation during volatile periods is generally larger than that during tranquil periods. Return correlation between weekdays is usually larger than that between the first and last days of the week. Overall, the results suggest that the possible reason for positive autocorrelation in stock returns could be the presence of negative feedback traders who are engaged in frequent profit-taking activities.

This is the first paper that thoroughly investigates the autocorrelation structure of the returns of the Saudi stock market using both index and individual stock returns. As this US$583bn (as of August 21, 2014) market opened to foreign institutional investors in June 2015, the results of this paper should be of significant value for the potential uninformed foreign investors in this relatively lesser known and previously closed yet highly prospective market.

This paper investigates the Saudi market and the ownership structures of listed firms within the Saudi context. This paper examines the historical phases of evolution of the Saudi market since the first flotation of a Saudi firm in 1935 to date. The data reveals high ownership by families and the government (30%) in the total companies listed. This paper also underscores the capacity of the Saudi market to develop into one of the leading stock exchange markets in the Middle East and East Asia. The discussion concludes that the Saudi market needs greater transparency, better legal frameworks, corporate governance codes, and more regulation, so as to realise its potential.

This study aims to find the response by stock market against the announcements of quarterly earnings is empirically tested by exploiting event study methodology. Efficient market hypothesis (EMH) on Saudi stock exchange is also tried on.

The market model is applied to help gauge the expected returns and to illustrate abnormal returns around the event date.

The results established that Saudi Stock Market does not bear semi-strong form of EMH. How efficient is the Saudi market is also reflected through evidence of significant abnormal returns and post-earnings announcement drift around earning announcements dates.

The authors have not used analysts’ forecast as the expected earnings which are the limitation. As mentioned earlier, the authors used the quarterly earnings of the previous year as a proxy and that proxy could have been replaced by analysts’ forecast. Another limitation is that the trading volume in the event window is not considered.

The behavior of Saudi capital market is of much concern, and the study of this with a perspective of EMH is the significance of this paper.

All stakeholders closely watch earnings announcements and its share price movement around the announcement date. Recently, Saudi Arabia has opened its doors to foreign investors, and big foreign investors are going to enter into Saudi capital market, and after their entry, the behavior of market could be different. In the authors’ opinion, this is the right time to study the efficiency of Saudi market before the entry of foreign investors.

This study is based on the gap created by EMH of Saudi market using event methodology, observed in the existing literature, and it will be a contribution to literature.

The purpose of this paper is to investigate how best to diversify in Saudi Arabia's stock market.

The analysis proceeds as follows: first, repeated sampling with replacement from a sample of 62 actual companies' monthly stock returns from January 2001 to June 2006 is used to simulate the performance of various portfolio sizes; second, a modified Statman diversification model is used to evaluate the performance of index funds in Saudi Arabia and thus assess the size of a diversified portfolio.

This paper reaches two important findings: first, due to high index funds fees, investors are better off diversifying by purchasing stocks directly from the stock market; second, a portfolio containing five randomly chosen stocks is sufficient to achieve diversification.

This paper provides useful recommendations on how to achieve diversification. Additionally, it highlights the fact that index funds are too expensive to be useful in Saudi Arabia.

This paper seeks to review and extend previous research on the performance of Islamic mutual funds (IMFs) by evaluating the relative performance of IMFs and conventional funds during the global economic crisis in the context of the Saudi Arabian capital market.

This paper compares the market timing and stock selection abilities of 159 mutual funds listed on the Saudi Arabian stock market from 2007 to 2011 by using the CAPM regression and Treynor and Mazuy models. The paper addresses the benchmark problem from which most prior IMFs studies suffered by using appropriate regional benchmarks. As a robustness check, coefficients of IMFs and conventional funds are compared by using the differences in mean and standard deviation analysis obtained from the standard CAPM model on individual funds.

The empirical results show evidence of better performance of IMFs relative to conventional funds during periods of economic crisis. In addition, although there is no evidence of relative superiority in market timing ability, managers of IMFs appear to have better stock selection ability during times of economic crisis.

The combination of superior stock selection ability of IMFs and the negative market timing ability of conventional funds suggest that IMFs offer better hedging opportunities for investors during periods of economic downturn.

The findings of this paper suggest that IMFs can provide hedging benefits during adverse economic conditions – an issue of great importance due to the current and forecast insecurity surrounding the global capital markets. By holding a portion of their investment portfolio in IMFs, investors can experience a higher degree of confidence in terms of investment security, growth and returns. Similarly, managers of conventional funds can improve risk adjusted performance by following similar screening criteria as IMFs during economic slowdowns.

This paper represents the first comprehensive study on the comparative performance of Islamic and conventional mutual funds during the current financial crisis by including all fund managers listed on the Saudi Arabian stock market. The paper extends the knowledge of the emerging literature of Islamic finance and mutual fund performance.

The purpose of this paper is to focus on the influence of mood/emotions and religious experience on Islamic stock markets during the Ramadan month.

This study uses stock returns data of two countries – Saudi Arabia and Iran – from January 2008 to September 2014 and the ARMA-GARCH models to study impact of the Ramadan month on the return and volatility of the stock market in these two countries.

The results of this study show some differences in the impact of the Ramadan month on the return and volatility of the stock market in these two countries. While the Ramadan month has a significant positive influence on the mean returns and the volatility of the Saudi market, its influence on the Iranian market is found to be insignificant. Further analysis on the last ten days of the Ramadan month provides a similar result for the Saudi market. However, for the Iranian market, volatility is significantly negatively affected during these last ten days.

Most prior studies have found significant changes in returns during the Ramadan month but a deeper understanding of this stock market anomaly is needed. The results point toward the influence of mood/emotions and religious experience in explaining the existence of the Ramadan anomaly.

This paper aims to examine the effect of Web-based financial reporting and social media platforms on the proxies of information asymmetry in the Saudi Stock Exchange.

The sample of this paper consists of 133 Saudi listed non-financial companies for the year 2019. Web-based disclosure level was measured using 25 items, and the social media platforms examined in this study are Facebook, Twitter and LinkedIn. The information asymmetry proxies are measured using the relative spread and the time-weighted average bid-ask spread.

The empirical results have shown that there is a negative and significant relation between Web-based financial reporting and the adoption of social media platforms and the proxies of information asymmetry. Indeed, the relative spread and the time-weighted average bid-ask spread decreased with increased Web-based reporting levels. Among three platforms (Facebook, Twitter and LinkedIn), the results show that only the use of Twitter as a channel for information disclosure has a negative and significant effect on information asymmetry proxies. Consequently, in the Saudi context, the authors demonstrate that the assumptions of the agency, stewardship and signaling theories are supported. Also, results reveal that the effect of information disclosure through websites and social media on reducing information asymmetry is stronger for large companies than small companies.

The paper provides new insights into the role played by websites and social media platforms in the reduction of the information asymmetry in the stock market. Consequently, investors and regulatory authorities in the Saudi financial market must give great importance to online information disclosure and its implications for lowering information asymmetry. This empirical study informs regulators in Saudi Arabia to conduct the better practice of Web-based and social media financial reporting and to regulate the current practice of information disclosure. Besides, the obtained results have the potential to convince firms’ managers to improve online information disclosure to benefit from the reduction in information asymmetry.

Unlike previous studies, this study investigates, simultaneously, the effect of Web-based and social media information disclosure on the proxies of information asymmetry in a developing economy. In addition, the hypotheses of this study are developed based on a set of theories (the agency, signaling and stewardship theories), to verify the applicability of these three theories in the Saudi context.

On the backdrop of growing importance of Shariah compliant equity markets, the purpose of this paper is to study cross-country portfolio diversification benefits for investors with major trading partners of Saudi Arabia, namely, USA, China, Japan, Germany and India, who have already invested or tend to invest in Saudi Arabian stock market.

The authors have investigated time invariant, dynamic correlations at different investments horizons of the investors among Islamic asset classes by applying relevant econometric techniques like multivariate generalized autoregressive conditional heteroscedastic –DCC and continuous wavelet transforms. For robustness, this study also applied maximal overlap discrete wavelet transform.

The findings tend to indicate that the Saudi Arabian investors have portfolio diversification benefits with all major trading partners in the short-term investment horizon. Interestingly, Saudi Arabian market has the least portfolio diversification benefits with the Chinese market. However, in the long run, all markets are correlated, yielding minimum portfolio diversification benefits and most importantly Saudi Arabian investors have portfolio diversification benefits with the Indian Islamic equity market in almost all investment horizons. The findings are highly consistent across different econometric technique estimations.

The authors are only considering five major trading partners of Saudi Arabia. Also, the authors are using S&P and FTSE shari’ah index. Moreover, the time period of the study is constrained by the availability of shari’ah indices. Econometric limitations are also well documented in the literature.

The results could be beneficial for the investors, portfolio managers, hedge fund managers and institutional investors and also could be useful for the policy makers in their policy-making decisions.

Only very few studies have looked into the benefits of international portfolio diversification from the perspective of local investors as well as the portfolio diversification benefits with the major trading partners of Saudi Arabia. One of the novelties of the method is to make the stock investors, practitioners and policy makers aware of the portfolio diversification benefits available at different time scales such as 4, 8, 16, 32, 64 and 256 trading days as investment holding periods to unveil the true dynamics of co-movement between those different assets.