scholarly journals ANALISA LAJU PERUBAHAN HARGA SAHAM LQ45 MENGGUNAKAN PERSAMAAN DIFERENSIAL

2020 ◽  
Vol 3 (2) ◽  
pp. 60
Author(s):  
Zani Anjani Rafsanjani HSM
Keyword(s):  
Program Analysis ◽  
Stock Prices ◽  
Stock Price ◽  
Order Differential Equation ◽  
Historical Data ◽  
Price Change ◽  
Price Changes ◽  
Dynamic Price ◽  
The Future ◽  
Interesting Discussion

The stock price movement is a very interesting discussion today. Dynamic price changes every time requires deep analysis to determine trends and stock price predictions in the future. There have been many methods used to analyze and predict stock prices. This paper will analyze the acceleration of stock price changes using a mathematical approach, known as a second-order differential equation. The benefit of this research is to obtain a coefficient of change in stock prices that can be used to predict stock prices in the future. Stock prices that will be observed are stocks including the LQ45 category. Furthermore, program analysis is carried out using Matlab software. At the end of the study, the coefficient of price change for LQ45 stocks was generated through provided historical data.

scholarly journals PENGARUH VARIABEL AKUNTANSI TERHADAPPERUBAHAN HARGA SAHAM PERUSAHAAN YANG GO PUBLIC DI BURSA EFEK JAKARTA

2016 ◽  
Vol 5 (1) ◽  
pp. 1
Author(s):  
Setyaningsih Setyaningsih
Keyword(s):  
Stock Prices ◽  
Random Sampling ◽  
Stock Price ◽  
Stock Exchange ◽  
Financial Accounting ◽  
Study Analysis ◽  
Price Changes ◽  
Leverage Ratio ◽  
Independent Variables ◽  
The Relationship

The objective of this study is to investigate the relationship between accounting variables and stock price changes in Jakarta Stock Exchange (JSX). Some accounting variables in this study are devidend payout  ratio, assets size, assets growth , leverage ratio, variability in earning and covariability in earning as independent variables, the independent variables are stock  price changes. The study analysis 80 cases of active firms  in  the period of 1994 to 1997.  Data is collected by means of purpo sive random sampling. Regression analysis is used to analyse the data.The  result  of  the study  shows  that  there  is significant  affect  of  the  sevent financial accounting informations in the model as predictor of stock price changes (Y); there are two variables to be dropped because there is multicolinierity among variables. Those variables are leverage ratio (X5) and covariability in earning (X7) . There are five other independent variables affect significantly to stock prices changes (Y), which their contribution is 49%.

Pharmaceutical R&D Spending and Threats of Price Regulation

2009 ◽  
Vol 45 (1) ◽  
pp. 239-264 ◽  
Author(s):  
Joseph Golec ◽  
Shantaram Hegde ◽  
John A. Vernon
Keyword(s):  
Stock Prices ◽  
Stock Price ◽  
Natural Experiment ◽  
Price Regulation ◽  
Negative Effects ◽  
Firm Level ◽  
Cross Sectional ◽  
Price Changes ◽  
Health Security ◽  
Pharmaceutical Price

AbstractDo threats of pharmaceutical price regulation affect subsequent research and development (R&D) spending? This study uses the Clinton administration’s Health Security Act (HSA) of 1993 as a natural experiment to study this issue. We link events surrounding the HSA to pharmaceutical stock price changes and then examine the cross-sectional relation between firms’ stock price changes and their subsequent unexpected R&D spending changes. Results show that the HSA had significant negative effects on stock prices and firm-level R&D spending. Conservatively, the HSA reduced R&D spending by about $1 billion even though it never became law.

scholarly journals Stock price response to earnings announcements: Developed versus emerging economies

2018 ◽  
Vol 15 (4) ◽  
pp. 29-45 ◽  
Author(s):  
Ahmed M. Al-Baidhani
Keyword(s):  
Stock Price ◽  
Value Relevance ◽  
Price Change ◽  
Explanatory Power ◽  
Abnormal Returns ◽  
Relevance Theory ◽  
Individual Event ◽  
Price Changes ◽  
Price Response ◽  
Earnings Response Coefficient

This study aims to evaluate the usefulness and relevance of accounting earnings disclosures, as the key determinant of stock price changes. The main objective is to examine whether earnings response coefficient (ERC) behaviour could explain more fully the stock price changes, as to the reason why the stock price change is not equal to the number of announced earnings. The study is done with data sets from five countries of the Organization for Economic Co-operation and Development (OECD) group and Malaysia. The analysis is then grouped into developed markets: Japan, UK, Sweden, and Switzerland; and emerging markets: Malaysia and Mexico, for the period 2001-2014. Two measures of abnormal returns are regressed against the size of the announced earnings. The first regression uses measures from individual events. The second regression uses a new measure; that is, from portfolios made out of all observations sorted by size of earnings into ten portfolios for each country and combination of countries. The portfolio method used was aimed at controlling possible idiosyncratic-errors-in-variables problem using individual event measures. The results using individual-event measures resulted in reasonable ERC sizes with high R2 explanatory power, a little higher than those reported in prior studies on other countries. Importantly, portfolio-based ERC is very close to the magnitude of the earnings in some tests, which supports the famous value relevance theory in accounting. This finding is new to this literature.

scholarly journals Stock Price Fluctuations and Corporate Forecasts Disclosure: Evidence from an Emerging Market

2014 ◽  
Vol 9 (1) ◽  
pp. 1481-1495
Author(s):  
Abbas Bagherian Kasgari ◽  
Keyvan Sheykhi
Keyword(s):  
Capital Market ◽  
Significant Relationship ◽  
Stock Prices ◽  
Stock Price ◽  
Emerging Market ◽  
Price Change ◽  
The Other ◽  
Price Fluctuations ◽  
Price Manipulation ◽  
New Information

This research investigates the relation between forecasting report disclosure and stock price fluctuations. The first hypothesize examine if there is a relation between two variables among companies which lead to fluctuation in the stock price and the second hypothesize examined these variables over research industries. Capital market reacts to new information in most cases- at least one month before the official date of the disclosure. We found evidence of fluctuation in stock prices before disclosure indicate that information was released to the market before official disclosure. In the other word, stock prices react to the unofficially released information and rumors to the market around the releasing new officially disclosure date. This fraudulent attempt was initiated by price manipulation in cases which we don't see significant price change during forecasted disclosure even if there are significant change in reported earning values. This investigation indicates that there is a significant relationship between releasing forecasted information and stock price fluctuations in the selected listed companies in TSE.

scholarly journals High volume trades and stock price changes in Brazil

2013 ◽  
Vol 11 (1) ◽  
pp. 92-101
Author(s):  
Andre Carvalhal ◽  
Cesar Martins ◽  
Otavio Figueiredo
Keyword(s):  
Institutional Investors ◽  
Stock Prices ◽  
Stock Price ◽  
High Volume ◽  
International Studies ◽  
Significant Relation ◽  
Price Changes ◽  
Available Information

This work analyzes the relation between stock price changes and high volume trades in Brazil. Using a unique intra-day database, we evaluate 10 of the most liquid shares from 2001 to 2006. Unlike most international studies, which are based on data from funds or institutional investors, this article breaks new ground by working with publicly available information. Our results indicate a positive and significant relation between stock price changes and high volume trades. In line with existing literature, we show there are both temporary and partially permanent on stock prices after high volume trades. Our study also indicates the existence of asymmetry between purchases and sales.

scholarly journals Analisis Teknikal Harga Saham Waskita Karya Tahun 2017 dengan Metode ARIMA

2018 ◽  
Vol 7 (1) ◽  
pp. 122-126
Author(s):  
Wahyuni Windasari
Keyword(s):  
Key Words ◽  
Stock Prices ◽  
Stock Price ◽  
Historical Data ◽  
Arima Model ◽  
Security Analysis ◽  
Technical Analysis ◽  
Price Movement

AbstractAs an investor needs to do an analysis before making a decision either in selling or buyingshares. Security analysis consist of two types of analysis, namely tecnical analysis andfundamental analysis. Technical analysis to test wheater historical data will predict stock pricesas a consideration to buy or sell an investment's instrument. One type of technical analysis isthe ARIMA method. In this research uses daily stock price of WSKT Tbk during 1 Januari–10Oktober 2017 to predict stock prices the few days. The best ARIMA model to describe WSKTstock price movement is MA(4), with MAE predict data is 480.25.Key words : forecasting, ARIMA, technical analysis, stock prices.

Stock Price Management and Share Issuance: Evidence from Equity Warrants

2021 ◽  
Author(s):  
Mary E. Barth ◽  
Kurt H. Gee ◽  
Doron Israeli ◽  
Ron Kasznik
Keyword(s):  
Stock Returns ◽  
Stock Prices ◽  
Stock Price ◽  
Market Timing ◽  
Price Changes ◽  
Price Management ◽  
The Difference

We investigate whether firms manage stock prices in anticipation of share issuance. Warrant exercise results in share issuance and warrant expiration dates are fixed years in advance, which precludes market timing. We predict firms manage stock prices to prevent (induce) warrant exercise when exercise is dilutive (anti-dilutive) to existing shareholders. To test our prediction, we examine stock returns around warrant expiration dates. We find that the difference between out-of-the-money (OTM) and in-the-money (ITM) firms' return patterns (i.e., post-expiration minus pre-expiration returns) is positive, and OTM (ITM) firms' return pattern is positive (negative). Return patterns of three sets of pseudo warrant firms differ from patterns of warrant firms. Return patterns are stronger when more feasible price changes are required to affect warrant expiration status, and firm-issued news items is a mechanism for price management. Thus, our findings provide evidence that firms engage in stock price management in anticipation of share issuance.

scholarly journals PENGARUH INTELEKTUAL KAPITAL TERHADAP KINERJA KEUANGAN PADA PERUSAHAAN SECTOR PERBANKAN YANG TERDAFTAR DI BURSA EFEK JAKARTA PERIODE 2008-2012

AdBispreneur ◽  
2017 ◽  
Vol 1 (3) ◽  
Author(s):  
Jauhar Arifin
Keyword(s):  
Financial Performance ◽  
Intellectual Capital ◽  
Stock Prices ◽  
Stock Price ◽  
Historical Data ◽  
Stock Exchange ◽  
Financial Statements ◽  
Component Analysis ◽  
Financial Statement ◽  
Postal Code

THE INFLUENCE OF INTELLECTUAL CAPITAL ON FINANCIAL PERFORMANCE OF BANK SECTOR COMPANIES LISTED AT JAKARTA STOCK EXCHANGEIN PERIOD 2008-2012 Jauhar ArifinSTIA Tabalong Kalimantan Selatan, Indonesia, Postal Code 71571Email: [email protected] ABSTRACT The unit of analysis in this study is bank sector companies listed at Jakarta Indonesia Stock Exchange in period 2008-2012. This unit data is represented by the audited company's financial statements and historical data of stock prices in Indonesia Stock Exchange. Financial statement data and historical data of the company's stock price used are from the year of 2008 to 2012. Companies sampled in the study only companies which meet the sampling criteria as many as 26 x 5 = 130 companies. Data analysis is Generalized Structured Component Analysis (GSCA). Result of research indicates that Intellectual Capital significantly influences Financial Performance.   Keywords: intellectual capital, financial performance    PENGARUH INTELEKTUAL KAPITAL TERHADAP KINERJA KEUANGAN PADA PERUSAHAAN SECTOR PERBANKAN YANG TERDAFTAR DI BURSA EFEK JAKARTA PERIODE 2008-2012 ABSTRAK Unit analisis pada penelitian ini adalah perusahaan sektor perbankan yang terdaftar di Bursa Efek Jakarta Periode 2008-2012. Data penelitian ini bersumber dari laporan keuangan yang telah diaudit dan data historis harga saham di Bursa Efek Indonesia. Data keuangan dan data historis harga saham perusahaan yang digunakan adalah dari tahun 2008 sampai 2012. Perusahaan sampel dalam penelitian ini hanya perusahaan yang memenuhi kriteria sampling sebanyak 26 x 5 = 130 perusahaan. Analisis data adalah Generalized structural component analysis (GSCA). Hasil penelitian menunjukkan bahwa intelektual kapital secara signifikan berpengaruh terhadap kinerja keuangan. Kata kunci:  intelektual kapital, kinerja keuangan 

scholarly journals PENGARUH EKSPEKTASI KEGIATAN USAHA TERHADAP INDEKS HARGA SAHAM GABUNGAN (Studi Kasus pada Bursa Efek Indonesia)

2018 ◽  
Vol 17 (2) ◽  
pp. 135
Author(s):  
Sumarsono Sumarsono ◽  
Safira Amalia Hapsari
Keyword(s):  
Hypothesis Testing ◽  
Stock Prices ◽  
Stock Price ◽  
Price Index ◽  
Easy Access ◽  
Business Activity ◽  
Running Time ◽  
Financial Condition ◽  
The Future ◽  
Stock Price Index

The stock price reflect the performance of the company issuing the shares, not only at running time (t0) but also expectations for the future (t+). The intrinsic value of the stock is investor’s income in the form of dividends which depends on the income from business activities, so rating for effect of expectations of business activities can be seen as a reflection of expectations and risks to the performance of the company issuing the shares  in the stock market which will affect stock prices, as reflected by Composite Stock Price Index (CSPI). This study aims to assess the effect of expectations of business activities on CSPI. The hypothesis is variables expectations of business activities individually or collectively affect the CSPI. Variable expectations of business activity expectation during the running time (t0) on business activity, financial condition and easiness access to credit and expectations in the future (t+) of business’s situation on three months ahead (t+3) and six months ahead (t+6). The study used survey data quarterly Kegiatan Dunia Usaha conducted by Bank Indonesia started from the first quarter of 2002 until the third quarter of 2016 and the data from Indonesia Stock Exchange Composite Stock Price Index after adjustment. Data taken from the publication of Bank Indonesia and Yahoo Finance. Hypothesis testing is using multiple regressionThe results of hypothesis testing found empirical evidence that the variable expectation of the company's financial condition of the present time and the expectation of business situation six months ahead have a significant positive effect on CSPI and business situation expectation over the next three months have a significant negative effect on CSPI. The variable of expectation of the current business activity and the expectation of easy access of credit have no significant effect to CSPI. All variable of expectation of business activity together have significant influence to CSPI. Keywords: Expectation of Business Activity, Composite Stock Price Index (CSPI).

Challenges of Stock Prediction

2020 ◽  
pp. 234-252
Author(s):  
Walid A. Mohammed
Keyword(s):  
Stock Prices ◽  
Stock Price ◽  
Moving Average ◽  
Stock Index ◽  
Price Forecast ◽  
Crucial Component ◽  
Forecasting Performance ◽  
The Future ◽  
Short Term Forecasting ◽  
Profit Maximisation

The challenge of the stock price forecast is the most crucial component for companies and equity traders to predict future revenues. A successful and accurate prediction to the future stock prices ultimately results in profit maximisation. This chapter proposes the use of autoregressive integrated moving average (ARIMA) and the artificial neural networks (ANNs) models to predict the future prices of the stock. Using Walmart's stock index, the results show that both ARIMA and the ANNs models provide accurate forecasting performance. However, for short-term forecasting, the performance of ANNs outperformed ARIMA models.

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