scholarly journals The Relationship between Stock Returns and Trading Hours: Evidence from Amman Stock Exchange

2018 ◽  
Vol 7 (3.21) ◽  
pp. 89
Author(s):  
Buthiena Kharabsheh ◽  
Mahera Hani Megdadi ◽  
Waheeb Abu-ulbeh
Keyword(s):  
Stock Returns ◽  
Stock Exchange ◽  
Garch Model ◽  
Conditional Heteroscedasticity ◽  
Amman Stock Exchange ◽  
The Relationship ◽  
Autoregressive Conditional Heteroscedasticity

This study investigates the relationship between stock returns and trading hours for 22 shares listed on Amman Stock Exchange (ASE). We analyze the hourly trading data for the period Dec.2005 to Dec.2006. The two trading hours in ASE were split into four periods; first half of the first hour (10:00-10:30), second half of the first hour (10:30-11:00), first half of the second hour (11:00-11:30), and second half of the second hour (11:30-12:00). Using the Generalized Autoregressive Conditional Heteroscedasticity (GARCH) model, our results reveal that the hourly trading time significantly affects stock returns.  

Do Financially Constrained Firms Earn Higher Returns than the Unconstrained Firms? A Comprehensive Evidence from Pakistan Stock Exchange

2020 ◽  
Keyword(s):  
Time Series ◽  
Asset Pricing ◽  
Capital Structure ◽  
Stock Returns ◽  
Financial Constraints ◽  
Stock Exchange ◽  
Cash Flows ◽  
Total Asset ◽  
Cash Holding ◽  
The Relationship

This paper examines the relationship between financial constraints and the stock returns explaining the pricing of stock through financially constrained and unconstrained firms in Pakistan. Three proxies; total assets, tangible to total assets and cash holding to total assets ratios) have been used for financial constraints and the study tried to investigate that either the investors are compensated for taking the extra risk or not in Pakistan Stock Exchange (PSX). We find that the financially constrained firms don’t earn higher returns when their capital structure is heavy with liquid assets and their cash flows are more than the unconstrained firms in PSX. Moreover, the time series results showed that the risk-adjusted returns of the most constrained firms give the mix and somewhat negative and significant and insignificant results for the Pakistani firms listed in PSX sorted based on tangible to total assets and Cash holding to total asset ratios. Keywords: Asset Pricing, Financial constraints, risk-adjusted performance of portfolios

scholarly journals PENGARUH PENERBITAN SUKUK TERHADAP REAKSI PASAR (SURVEY TERHADAP PERUSAHAAN-PERUSAHAAN YANG MENERBITKAN OBLIGASI SYARIAH YANG TERDAFTAR DIBURSA EFEK INDONESIA SELAMA TAHUN 2015)

2019 ◽  
Vol 4 (3) ◽  
pp. 496-503
Author(s):  
Mulya Iskandar ◽  
Ridwan Ridwan
Keyword(s):  
Stock Returns ◽  
Abnormal Return ◽  
Research Method ◽  
Quantitative Research ◽  
Stock Exchange ◽  
Secondary Data ◽  
Cumulative Abnormal Return ◽  
Market Reactions ◽  
Independent Variables ◽  
The Relationship

This study aims to determine how the influence of a sukuk instrument issuance on market reactions listed on the Indonesia Stock Exchange (IDX) during 2015. The research method used in this study is quantitative research. Quantitative research contains a relationship between cause and effect. The type of data used is secondary data, data collection used by the author is to know the relationship between two or more variables. The object to be examined in this study is the total value and rating of the issuance of Islamic bonds (sukuk) companies as independent variables and cumulative abnormal return shares of companies that issue Islamic bonds (sukuk) listed on the Indonesia Stock Exchange in 2015. The results of this study indicate the value of sukuk bond issuance and sukuk bond issuance ratings jointly affect stock returns. The value of issuing sukuk bonds partially affects stock returns and the rating of bond issuance has an effect on return.

scholarly journals The Relationship Between Corporate Governance Practices and Financial Performance: Evidence from Amman Stock Exchange

2021 ◽  
pp. 63-87
Author(s):  
Hussein Ahmad Bataineh ◽  
Sulaiman Salim Al Harthy ◽  
Raqiya Ali Al Balushi
Keyword(s):  
Corporate Governance ◽  
Financial Performance ◽  
Stock Exchange ◽  
Predictor Variable ◽  
P Value ◽  
Amman Stock Exchange ◽  
Governance Practices ◽  
Unit Increase ◽  
Beta Coefficient ◽  
The Relationship

The objective of the study was to establish the relationship between corporate governance Index and financial performance and evidence from Amman stock exchange. To achieve this objective, this study applied descriptive research structure. In this case, the research focused on the 181 firms listed at the Amman Stock Exchange (Appendix I). The statistical techniques that was applied to analyze collected data included descriptive statistics. The information analyzed revealed that the model summary indicated that the R² to be 0.243. This meant that 24.3% of the variation in performance (ROA) was due to the predictor variable captured in the study. This also implied that 75.7% of the variation in ROA was attributed to the measurements of error and other factors that could have had an effect on the ROA but were not captured in the study. The estimated model showed that ROA when other factors are held constant was 1.610. The outcomes also revealed that governance score had a beta coefficient of 0.573 indicating that for every unit increase in governance score on the ROA went up by 0.573. This relationship is significance since P-value of 0.025<0.05. Therefore, the model qualified as a good predictor. Keywords: Corporate Governance, Financial Performance, Amman stock Exchange.

scholarly journals VOLATILITY SHOCK PERSISTENCE IN INVESTMENT DECISION MAKING: A COMPARISON BETWEEN THE CONSUMER GOODS AND PROPERTY-REAL ESTATE SECTORS OF THE INDONESIAN CAPITAL MARKET

2018 ◽  
Vol 33 (2) ◽  
pp. 112
Author(s):  
Ari Christianti
Keyword(s):  
Real Estate ◽  
Stock Returns ◽  
Consumer Goods ◽  
Investment Decision ◽  
Large Population ◽  
Conditional Heteroscedasticity ◽  
Single Index ◽  
Index Model ◽  
Single Index Model ◽  
Autoregressive Conditional Heteroscedasticity

Research about volatility shock persistence is very important, since it could reflect the risks that can be used to estimate the fluctuations of stock returns in the future. This paper investigates a comparison of the volatility shock persistence sectoral indexes between the consumer goods (CONS) and property-real estate (PROP) sectors, using a single index model analyzed using GARCH (Generalized Autoregressive Conditional Heteroscedasticity) and I-GARCH (Integrated-Generalized Autoregressive Conditional Heteroscedasticity). By using index return data from January 2010-December 2015, the research shows that CONS and PROP tend to produce the same results. The CONS and PROP indexes’ responses to volatility shocks tended to be quite fast. Hence, the single index model of the CONS and the PROP indexes can quickly return to its normal stability. It means that, in the presence of certain information which could affect the volatility of the return from these sectors, the market will respond and adapt immediately. This might be attributed to the fact that CONS is a sector that involves fast moving products. Furthermore, the PROP sector has an indirect effect by increasing the real sectoral economic activity and economic growth in Indonesia, which has a large population. Thus, it is recommended that investors who are risk averse and risk neutral should invest in these sectors, because the volatility of both indexes can be monitored based on the existing information.

scholarly journals Systematic illiquidity, characteristic illiquidity, and stock returns: Timeseries analysis

2022 ◽  
Vol 9 (2) ◽  
pp. 72-80
Author(s):  
Soltane et al. ◽  
Keyword(s):  
Emerging Markets ◽  
Stock Returns ◽  
Stock Prices ◽  
Stock Price ◽  
Stock Exchange ◽  
Systematic Risk ◽  
Timeseries Analysis ◽  
The Relationship

The objective of this research is to investigate the relationship between illiquidity and stock prices on the Tunisian stock exchange. While previous researches tended to focus on one form of illiquidity to examine this relationship, our study unifies three forms of illiquidity at the same time. Indeed, we simultaneously consider illiquidity as systematic risk, as a characteristic of the market, and as a characteristic of the stock. The aggregate illiquidity of the market is the average of individual stock illiquidity. The illiquidity risk is the sensitivity of the stock price to illiquidity shocks. Shocks of market illiquidity are estimated by the innovations in the expected market illiquidity. Results show that investors on the Tunisian stock exchange do not require higher returns when they expect a rise of market illiquidity, whereas investors on U.S markets are compensated for higher expected market illiquidity. In addition, shocks of market illiquidity provoke a fall in stock prices of small caps, while large caps are not sensitive to market illiquidity shocks. This differs slightly from results based on U.S. data where illiquidity shocks reduce all stock prices but most notably those of small caps. Robustness tests validate our findings. Our results are consistent with previous studies which reported that the “zero-return” ratio predicts significantly the return-illiquidity relationship on emerging markets.

scholarly journals The ability of cash flows to predict the earning: Evidence from Jordan

2021 ◽  
Vol 18 (4) ◽  
pp. 36-44
Author(s):  
Mohammad Fawzi Shubita
Keyword(s):  
Stock Exchange ◽  
Predictive Ability ◽  
Cash Flows ◽  
Operating Cycle ◽  
Prediction Ability ◽  
Future Earnings ◽  
Industrial Companies ◽  
Amman Stock Exchange ◽  
Great Support ◽  
The Relationship

This study aims to investigate the ability of cash flows components to predict the earning and to know the extent of the relationship between accounting profits and cash flow measures. The study sample consisted of 77 industrial companies listed on the Amman Stock Exchange in Jordan for the period from 2006 to 2019. This study relied on the regression method to test the relationship between the study variables. The study findings showed that the cash flows from operating, investing, and financial activities have a statistically significant impact on predicting future earnings. The study also examined the effect of length of operating cycle and company’s size on the predictive ability of cash flows regarding future earnings. The main results for this aspect are that large companies and short operating cycle companies have higher prediction ability for future earnings than small and long operating cycle companies. This paper provides evidence of the information content of cash flows for future earnings in emerging markets like Jordan and is important for Jordanian shareholders by enabling them to evaluate company’s performance. AcknowledgmentsI would like to thank Amman Arab University for its great support, and for funding this study.

scholarly journals ARCH GARCH METHOD OF FORECASTING CONSUMER PRICE INDEX (CPI) IN SEMARANG

2020 ◽  
Vol 1 (1) ◽  
pp. 14-22
Author(s):  
Sri Kustiara ◽  
Indah Manfaati Nur ◽  
Tiani Wahyu Utami
Keyword(s):  
Price Index ◽  
Consumer Price Index ◽  
Garch Model ◽  
Conditional Heteroscedasticity ◽  
Autoregressive Conditional Heteroscedasticity

Indeks Harga Konsumen (IHK) merupakan salah satu indikator ekonomi penting yang dapat memberikan informasi mengenai perkembangan harga barang/jasa yang dibayar oleh konsumen di suatu wilayah. Penghitungan IHK ditujukan untuk mengetahui perubahan harga dari sekelompok tetap barang atau jasa yang umumnya dikonsumsi oleh masyarakat setempat. Dalam metode yang digunakan dalam pemodelan data runtun waktu memiliki syarat khusus yaitu yang  teridentifikasi efek heteroskedastisitas. Tujuan dari penelitian ini adalah untuk mengetahui model terbaik peramalan periode berikutnya serta hasil prediksi periode mendatang. Variabel yang digunakan adalah data Indeks Harga Konsumen dalam bulan. Sehingga untuk mengatasi permasalahan pada data penelitian ini digunakan metode Autoregressive Conditional Heteroscedasticity Generalized Autoregressive Conditional Heteroscedasticity (ARCH GARCH). Hasil dari penelitian ini didapatkan metode ARCH GARCH model terbaik yang digunakan adalah ARIMA (1,1,1)~GARCH (1,0). Dengan prediksi dari volatilitas dengan nilai standar deviasi 0.98283514 diperoleh prediksi volatilitas terendah sebesar 0.9632546 dan prediksi volatilitas tertinggi sebesar 0.9980155.

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