Measuring True Stock Index Value in the Presence of Infrequent Trading

1995 ◽  
Vol 30 (3) ◽  
pp. 455 ◽  
Author(s):  
Esa Jokivuolle
Keyword(s):  
Stock Index ◽  
Index Value ◽  
Infrequent Trading

scholarly journals Risk and Policy Uncertainty on Stock–Bond Return Correlations: Evidence from the US Markets

Risks ◽  
2020 ◽  
Vol 8 (2) ◽  
pp. 58
Author(s):  
Thomas Chiang
Keyword(s):  
Composite Index ◽  
Correlation Coefficients ◽  
Stock Index ◽  
Policy Uncertainty ◽  
Dynamic Correlations ◽  
Nasdaq Composite Index ◽  
Bond Returns ◽  
The Us ◽  
Bond Return ◽  
Index Value

This paper investigates dynamic correlations of stock–bond returns for different stock indices and bond maturities. Evidence in the US shows that stock–bond relations are time-varying and display a negative trend. The stock–bond correlations are negatively correlated with implied volatilities in stock and bond markets. Tests show that stock–bond relations are positively correlated with economic policy uncertainty, however, are negatively correlated with the monetary policy and fiscal policy uncertainties. Correlation coefficients between stock and bond returns are positively related to total policy uncertainty for returns of the Dow-Jones Industrial Average (DJIA) and the S&P 500 Value stock index (VALUE), but negatively correlated with returns of S&P500 (Total market), the NASDAQ Composite Index (NASDAQ), and the RUSSELL 2000 (RUSSELL).

scholarly journals An Efficient Prediction of Share Price using Data Mining Techniques

2019 ◽  
Vol 8 (6) ◽  
pp. 3110-3115 ◽  
Keyword(s):  
National Policy ◽  
Share Price ◽  
Stock Index ◽  
Future Price ◽  
Stock Exchanges ◽  
Share Prices ◽  
Company Stock ◽  
The Future ◽  
Using Data ◽  
Index Value

The prediction of share prices is the function of deciding the future price of a company stock or other commercial tool traded. Prediction of some movements allowed from some patterns can be found. People are always attracted to invest in share market and stock exchanges as they provide huge financial profits, which is also an important for finance research. Prediction of share price is very difficult issue it depends upon such huge numbers of factors such organization financial status and national policy and so on. Nowadays stock costs are influenced because of numerous reasons such as organizationrelated news, political, socially efficient conditions and cataclysmic events. Many studies have been performed for the prediction of stock index value and daily direction of change in the stock index. Such huge numbers of models have been created for foreseeing the future stock costs yet everyone has their own weaknesses. This paper expects to study, develop and assess different techniques so as to foresee future stock trades. The experimental results states that different classification techniques can be successfully deploy for share price prediction.

scholarly journals Text‑Mining in Streams of Textual Data Using Time Series Applied to Stock Market

2018 ◽  
Vol 66 (6) ◽  
pp. 1573-1580
Author(s):  
Pavel Netolický ◽  
Jonáš Petrovský ◽  
František Dařena
Keyword(s):  
Time Series ◽  
Text Mining ◽  
Classification Accuracy ◽  
Time Windows ◽  
Stock Index ◽  
Text Data ◽  
Textual Data ◽  
Mining Methods ◽  
Index Value ◽  
Value Changes

Each day, a lot of text data is generated. This data comes from various sources and may contain valuable information. In this article, we use text mining methods to discover if there is a connection between news articles and changes of the S&P 500 stock index. The index values and documents were divided into time windows according to the direction of the index value changes. We achieved a classification accuracy of 65–74 %.

Analisis Perbandingan Kinerja Investasi Portofolio Pasar Modal Syariah Dengan Pasar Modal Konvensional (Studi Kasus Pada Jakarta Islamic Index dan IDX30)

2020 ◽  
Vol 1 (1) ◽  
pp. 38-44
Author(s):  
Siti Wardani Bakri Katti ◽  
Mutmainah Mutmainah
Keyword(s):  
Capital Markets ◽  
Stock Exchange ◽  
Stock Index ◽  
Research Use ◽  
Portfolio Investment ◽  
Average Difference ◽  
Investment Performance ◽  
Index Approach ◽  
The Difference ◽  
Index Value

Abstract— The general difference between conventional capital markets and Islamic capital markets can see in the instruments and transactio mechanism, while the difference of Sharia stock index value with conventional stock index value lies in the criteria of the issuer’s shares that must meet the basic principles of sharia. The aim of this research is 1) to know average difference of return between Jakarta Islamic Index (JII) with IDX30 in bullish and bearish period, 2) to know the difference of return between Jakarta Islamic Index (JII) with IDX30 in bullish and bearish period through Sharpe Index approach. The research type is explanatory research. This research use all of go public companies on Indonesia Stock Exchange (BEI) from 2014-2018. Sampling in this research use purposive sampling. The classic assumption test uses normality and homogeneity test. Data analysis method use independent sample T-test. The research result show that no average difference of return of portfolio investment performance in the 2014-2018 period between Jakarta Islamic Index (JII) with IDX30 in the bullish and bearish period. Portfolio investment performance in the 2014-2018 period show no average difference of return between Jakarta Islamic Index (JII) with IDX30 through Sharpe index approach in the bullish and bearish period. Keywords—: Islamic Capital Markets; Conventional Capital Markets; Jakarta Islamic Index; IDX30; Indonesia Stock Exchange.

The Effect of Current Ratio and Debt to Asset Ratio on Net Profit Margin and Stock Prices: A Study of Basic Industry and Chemicals Companies

2020 ◽  
pp. 282-294
Author(s):  
Sudirman S ◽  
Muhammad Wahyuddin Abdullah ◽  
Muhammad Obie
Keyword(s):  
Stock Prices ◽  
Stock Exchange ◽  
Secondary Data ◽  
Profit Margin ◽  
Current Ratio ◽  
Industry Sector ◽  
Basic Industry ◽  
Net Profit ◽  
Equity Ratio ◽  
Index Value

This study examined the effect of current ratio and debt to asset ratio on net profit margin and stock prices of the sector basic industry and chemicals companies listed on the Indonesia Stock Exchange in the period 2015-2019. The object of research was the stock prices of companies in the Basic Industry and Chemicals sector, which have been published through the official website of the Indonesian capital market. It was used secondary data derived from the monthly statistics, including Current Ratio data, Net Profit Margin, Debt to Asset Ratio, and data on closing prices for the period 2015-2019. In analyzing data, it was used path analysis of secondary data obtained from the basic industry sector financial statements of 60 companies. The company's performance in this sector is considered quite good when seen from the movement of the index value in the last five years. The results show that direct current ratio had a positive and significant effect on the net profit margin, and the debt to equity ratio did not significantly influence the net profit margin. The current ratio has a positive and significant effect on stock prices, and the debt to equity ratio has a negative and not significant effect on stock prices. In contrast, the net profit margin has a significant effect on stock prices in the basic industry sector companies on the Indonesia Stock Exchange. Indirectly the current ratio has a positive and significant effect on stock prices. In contrast, the debt to asset ratio has a negative and not significant effect on the company's stock prices in the basic industry sector on the Indonesia Stock Exchange.

DIVERSITY OF FISH LARVAE AROUND THE ESTUARY OF THE BANYUASIN RIVER, SOUTH SUMATERA PROVINCE

2020 ◽  
Vol 6 (2) ◽  
Author(s):  
Moh. Rasyid Ridho ◽  
Enggar Patriono ◽  
Sarno Sarno ◽  
Sahira Wirda
Keyword(s):  
Initial Phase ◽  
Sampling Method ◽  
Environmental Changes ◽  
Negative Impact ◽  
Fish Larvae ◽  
River Estuary ◽  
Sampling Technique ◽  
Critical Phase ◽  
Morisita Index ◽  
Index Value

The initial phase of the fish life cycle is a critical phase associated with high mortality due to sensitivity to predators, food availability, and also environmental changes that occur in nature. Disruption of the initial stages of fish life has a negative impact on fish populations. Until now there has been no information about fish larvae around the Banyuasin River Estuary. Therefore, research is needed on the diversity of fish larvae around the Banyuasin River Estuary, South Sumatra Province. This research were used purposive sampling method, sampling technique in the form of Cruise Track Design with continuous parallel survey trajectory. Based on the results of the study found as many as 10 families consisting of 1483 individuals of fish larvae in March and 1013 individuals of fish larvae in May consisting of Engraulidae 1,601 individuals of fish larvae, Mungiloidei as many as 109 individuals, Leiognathidae 50 individuals, Chanidae 453 individuals, Scatophagidae 20 individuals , Belonidae 39 individuals, Gobioididae 5 individuals, Chandidae 183 individuals, Syngnatihidae 6 individuals, and Gobiidae 30 individuals fish larvae. The index value of fish larvae diversity is classified as medium category (March 1.02 and May 1.12), Morisita index shows the distribution pattern of fish larvae classified as a group (March 0-14.17 and May 2.43-10.40 ), and the evenness index value is in the medium category (March 0.437 and May 0.521).

Volatility and Trading Demands in Stock Index Futures

CFA Digest ◽  
2003 ◽  
Vol 33 (3) ◽  
pp. 101-102
Author(s):  
Frank T. Magiera
Keyword(s):  
Stock Index ◽  
Stock Index Futures ◽  
Index Futures

VALUE INCREASING OF REJECT COAL WITH BIOMASS ADDING AS BIO-COAL BRIQUETTE

2020 ◽  
Vol 3 (2) ◽  
pp. 123
Author(s):  
Dyah Marganingrum ◽  
Lenny Marilyn Estiaty
Keyword(s):  
Alternative Energy ◽  
Ignition Time ◽  
Bottom Ash ◽  
Calorific Value ◽  
Added Value ◽  
Physical Test ◽  
Chemical Test ◽  
Agglomeration Process ◽  
Strategic Solution ◽  
Index Value

Aim: This paper aims to explain the added value increasing method of reject coal which has not utilized by the company. Methodology and Results: The method to increase added value in this study used the agglomeration process of briquettes form that changing composition by adding biomass. The biomass functions to minimize bottom ash produced from burning briquettes so that the briquettes burn entirely. Stages processes in this study consist of characterization, briquetting, physical test, and chemical test. Based on the analysis, reject coal still has a high calorific value of 5,929 cal/gr. Shapes and sizes that were not following needs of coal market or consumer due to reject coal to be a waste. Briquettes have been successfully produced and meet specification requirements based on applicable regulations in Indonesia. Besides physical properties, the briquette meet density requirements which are greater than or equal to 1 gr/cm3 and shatter index value is less than 0.5%. The gas emission test shows below threshold, which is CO 0-30 ppm, H2S 0-3.6 ppm, and NOx is not detected. After evaluation, it showed that by adding 30% biomass, ignition time could be decreased and remaining unburned briquettes or bottom ash was reduced as much as 68.68%. Conclusion, significance and impact study: The bio-coal briquettes is a strategic solution to environmental problems and alternative energy sources that are environmentally friendly, because CO and H2S emissions are still below the threshold, even for NOx not detected. Making Bio-coal briquettes as a solution to the utilization of reject coal mining waste to be used as an alternative energy source has been successfully carried out.

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