Analysis of the relationship between Saudi twitter posts and the Saudi stock market

2015 ◽  
Author(s):  
Hamed AL-Rubaiee ◽  
Renxi Qiu ◽  
Dayou Li
Keyword(s):  
Stock Market ◽  
The Relationship

scholarly journals Investigating the Links between UK House Prices and Share Prices with Copulas

2021 ◽  
Author(s):  
Rakesh K. Bissoondeeal ◽  
Leonidas Tsiaras
Keyword(s):  
Stock Market ◽  
House Prices ◽  
National Level ◽  
Tail Dependence ◽  
Share Prices ◽  
Property Prices ◽  
Left Tail ◽  
The Uk ◽  
The Relationship ◽  
Shared Characteristic

AbstractWe investigate the nonlinear links between the housing and stock markets in the UK using copulas. Our empirical analysis is conducted at both the national and regional levels. We also examine how closely London house prices are linked to those in other parts of the UK. We find that (i) the dependence between the different markets exhibits significant time-variation, (ii) at the national level, the relationship between house prices and the stock market is characterised by left tail dependence, i.e., they are more likely to crash, rather than boom, together, (iii) although left tail dependence with the stock market is a prominent feature of some regions, it is by no means a universally shared characteristic, (iv) the dependence between property prices in London and other parts of the UK displays widespread regional variations.

scholarly journals The Regime-Switching Behaviour of Exchange Rates and Frontier Stock Market Prices in Sub-Saharan Africa

2021 ◽  
Vol 14 (3) ◽  
pp. 122
Author(s):  
Maud Korley ◽  
Evangelos Giouvris
Keyword(s):  
Stock Market ◽  
Stock Markets ◽  
Regime Switching ◽  
Markov Switching ◽  
Sub Saharan Africa ◽  
Var Model ◽  
High Volatility ◽  
Sub Saharan ◽  
The Relationship ◽  
Fx Market

Frontier markets have become increasingly investible, providing diversification opportunities; however, there is very little research (with conflicting results) on the relationship between Foreign Exchange (FX) and frontier stock markets. Understanding this relationship is important for both international investor and policymakers. The Markov-switching Vector Auto Regressive (VAR) model is used to examine the relationship between FX and frontier stock markets. There are two distinct regimes in both the frontier stock market and the FX market: a low-volatility and a high-volatility regime. In contrast with emerging markets characterised by “high volatility/low return”, frontier stock markets provide high (positive) returns in the high-volatility regime. The high-volatility regime is less persistent than the low-volatility regime, contrary to conventional wisdom. The Markov Switching VAR model indicates that the relationship between the FX market and the stock market is regime-dependent. Changes in the stock market have a significant impact on the FX market during both normal (calm) and crisis (turbulent) periods. However, the reverse effect is weak or nonexistent. The stock-oriented model is the prevalent model for Sub-Saharan African (SSA) countries. Irrespective of the regime, there is no relationship between the stock market and the FX market in Cote d’Ivoire. Our results are robust in model selection and degree of comovement.

scholarly journals Sugar Prices vs. Financial Market Uncertainty in the Time of Crisis: Does COVID-19 Induce Structural Changes in the Relationship?

Agriculture ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 93
Author(s):  
Pavel Kotyza ◽  
Katarzyna Czech ◽  
Michał Wielechowski ◽  
Luboš Smutka ◽  
Petr Procházka
Keyword(s):  
Financial Crisis ◽  
Stock Market ◽  
Financial Market ◽  
Structural Breaks ◽  
Structural Changes ◽  
Global Financial Crisis ◽  
Market Uncertainty ◽  
Volatility Index ◽  
The Global Financial Crisis ◽  
The Relationship

Securitization of the agricultural commodity market has accelerated since the beginning of the 21st century, particularly in the times of financial market uncertainty and crisis. Sugar belongs to the group of important agricultural commodities. The global financial crisis and the COVID-19 pandemic has caused a substantial increase in the stock market volatility. Moreover, the novel coronavirus hit both the sugar market’s supply and demand side, resulting in sugar stock changes. The paper aims to assess potential structural changes in the relationship between sugar prices and the financial market uncertainty in a crisis time. In more detail, using sequential Bai–Perron tests for structural breaks, we check whether the global financial crisis and the COVID-19 pandemic have induced structural breaks in that relationship. Sugar prices are represented by the S&P GSCI Sugar Index, while the S&P 500 option-implied volatility index (VIX) is used to show stock market uncertainty. To investigate the changes in the relationship between sugar prices and stock market uncertainty, a regression model with a sequential Bai–Perron test for structural breaks is applied for the daily data from 2000–2020. We reveal the existence of two structural breaks in the analysed relationship. The first breakpoint was linked to the global financial crisis outbreak, and the second occurred in December 2011. Surprisingly, the COVID-19 pandemic has not induced the statistically significant structural change. Based on the regression model with Bai–Perron structural changes, we show that from 2000 until the beginning of the global financial crisis, the relationship between the sugar prices and the financial market uncertainty was insignificant. The global financial crisis led to a structural change in the relationship. Since August 2008, we observe a significant and negative relationship between the S&P GSCI Sugar Index and the S&P 500 option-implied volatility index (VIX). Sensitivity analysis conducted for the different financial market uncertainty measures, i.e., the S&P 500 Realized Volatility Index confirms our findings.

The Influence of Financial Development on R&D Activity: Cross-Country Evidence

2010 ◽  
Vol 13 (03) ◽  
pp. 381-401 ◽  
Author(s):  
Young-Soon Hwang ◽  
Hong-Ghi Min ◽  
Seung-Hun Han
Keyword(s):  
Stock Market ◽  
Banking Sector ◽  
Finance Industry ◽  
Turnover Ratio ◽  
Environment Variables ◽  
Financial Quality ◽  
Efficient Resource ◽  
Cross Country ◽  
The Relationship ◽  
Financial Environment

The financial environment affects the level of R&D activity of a country. Using the proxy measures of macroeconomic financial environment variables, we show that cross-country differences in R&D activity, including expenditures, researchers, and patents etc., are correlated with the stock market turnover ratio. In particular, we found that the relationship was in direct relation to R&D expenditures or the number of researchers but indirect in relation to R&D outputs such as patents. These results imply that finance structure of an economy could enhance R&D activity through providing efficient resource allocation function. Other proxy measures of the financial environment such as banking sector size or stock market capitalization are not found to be significant. The size of the finance industry does not seem to change the national portfolio toward more high-risk innovative sectors. Financial quality, not size, determines the level of R&D intensity.

scholarly journals FACTORS AFFECTING DISPOSITION EFFECT IN EQUITY INVESTMENT: A SOCIAL NETWORK ANALYSIS APPROACH

2020 ◽  
Vol 5 (3) ◽  
pp. 64-86
Author(s):  
K. Kajol ◽  
Prasita Biswas ◽  
Ranjit Singh ◽  
Sana Moid ◽  
Amit Kumar Das
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Stock Market ◽  
Influencing Factors ◽  
Social Trust ◽  
Complete Analysis ◽  
Disposition Effect ◽  
Factors Affecting ◽  
The Relationship

The study aims at identifying the factors influencing the disposition effect acting on equity investors and further identifying the relationship between the influencing factors. The study aims at conducting a complete analysis of the influencing factors along with measuring their impact on disposition effect using Social Network Analysis (SNA).The factors affecting disposition effect on investors were identified through the literature review. Experts’ opinions were sought for determining the relationship among the factors and finally, the importance of those factors was analyzed using Social Network Analysis (SNA). It was found that social trust, investor emotion are the two most important factors affecting the other factors of disposition effect and consequently disposition effect finally. Besides, mental accounting; regret aversion, trading intensity, trading volume, and portfolio performance strongly influence the effect of disposition on investors because of their higher in-degree and out-degree. Therefore, the policymakers need to impart training to the investors to understand the mechanism of the stock market so that they can evaluate their standing in the stock market which, in the long run, will be reflected in their investment behavior. 

scholarly journals Ownership And Firm Performance: The Experience Of Saudi Arabias Emerging Economy

2011 ◽  
Vol 8 (8) ◽  
Author(s):  
Abuzar M. A. Eljelly
Keyword(s):  
Saudi Arabia ◽  
Firm Performance ◽  
Stock Market ◽  
Market Performance ◽  
Return On Assets ◽  
Private Companies ◽  
Return On Equity ◽  
Net Profit ◽  
The Government ◽  
The Relationship

This study examines the relationship between firm ownership and corporate performance in Saudi Arabia, using a sample of Listed Private Companies (LPCs) and Listed Government Related Companies (LGRCs). The study compares the operating and market performance of the LPCs and LGRCs during the period 2000-2003 and found that, in general, LGRCs outperform or match the performance of LPCs. More specifically, the study finds that LGRCs tend to mostly outperform LPCs in terms of profitability, as measured by Return on equity (ROE) and Net Profit Margin (NPM), operating efficiently, as measured in terms of Return on assets (ROA), and match them in their stock market risk adjusted performance. The study concludes that these results may have implications for the issue of privatization programs which the government has recently started.

scholarly journals EARNINGS ANNOUNCEMENTS AND COMPETING INFORMATION: THE INDONESIAN EVIDENCE

2015 ◽  
Vol 29 (1) ◽  
Author(s):  
Dedhy Sulistiawan ◽  
Jogiyanto Hartono ◽  
Eduardus Tandelilin ◽  
Supriyadi Supriyadi
Keyword(s):  
Stock Market ◽  
Empirical Evidence ◽  
Earnings Announcements ◽  
Negative Relationship ◽  
Technical Analysis ◽  
Earnings Announcement ◽  
Price Reaction ◽  
Price Reactions ◽  
The Relationship ◽  
The U.S

The main purpose of this study is to provide empirical evidence of the relationship betweeninvestors’ responses to two events, which are, (1) earnings anouncements, and (2) technicalanalysis signals, as competing information. This study is motivated by Francis, et al. (2002),whose study used stock analyst’s recommendations as competing information in the U.S stockmarket. To extend that idea, this study uses technical analysis signals as competing informationin the Indonesian stock market. Using Indonesian data from 2007-2012, this study shows thatthere are price reactions on the day of a technical analysis signal’s release, which is prior toearnings announcements. It means that investors react to the emergence of competinginformation. Reactions on earnings announcements also produce a negative relationship withthe reaction to a technical analysis signal before an earnings announcement. This study givesevidence about the importance of technical analysis as competing information to earningsannouncements.Keywords: competing information, earnings announcements, technical analysis, price reaction

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