scholarly journals The capital market spillover effect of product market advertising: Evidence from stock price synchronicity

2020 ◽  
Vol 14 (1) ◽  
Author(s):  
Yajie Chen ◽  
Qinlin Zhong ◽  
Fuxiu Jiang
Keyword(s):  
Capital Market ◽  
Stock Price ◽  
Spillover Effect ◽  
Product Market ◽  
Stock Price Synchronicity ◽  
The Capital Market

ANALISA PREDIKSI INDEKS HARGA SAHAM GABUNGAN MENGGUNAKAN METODE ARIMA

2020 ◽  
Vol 2 (2) ◽  
pp. 454
Author(s):  
Julkifli Purnama ◽  
Ahmad Juliana
Keyword(s):  
Capital Market ◽  
Stock Price ◽  
Time Series Data ◽  
Arima Model ◽  
Secondary Data ◽  
Actual Data ◽  
Series Data ◽  
Analysis Technique ◽  
The Right ◽  
The Capital Market

Investment in the capital market every manager needs to analyze to make decisions so that the right target to produce profits in accordance with what is expected. For that, we need a way to predict the decisions that will be taken in the future. The research objective is to find the best model and forecasting of the composite stock price index (CSPI). Data analysis technique The ARIMA Model time series data from historical data is the basis for forecasting. Secondary data is the closing price of the JCI on July 16 2018 to July 16 2019 to see how accurate the forecasting is done on the actual data at that time. The results of the study that the best Arima model is Arima 2.1.2 with an R-squared value of 0.014500, Schwarz criterion 10.83497 and Akaike info criterion of 10.77973. Results of forecasting actual data are 6394,609, dynamic forecast 6387,551 selisish -7,05799, statistics forecas 6400,653 difference of 6,043909. For investors or the public can use the ARIMA method to be able to predict or predict the capital market that will occur in the next period.

scholarly journals Capital Market Returns to New Product Development Success: Informational Effects on Product Market Advertising

2018 ◽  
Vol 56 (1) ◽  
pp. 37-56 ◽  
Author(s):  
Kyung M. Park ◽  
Pradeep K. Chintagunta ◽  
Inho Suk
Keyword(s):  
Product Development ◽  
Stock Returns ◽  
New Product Development ◽  
Capital Market ◽  
Abnormal Returns ◽  
Product Market ◽  
New Product ◽  
Direct To Consumer ◽  
Direct To Consumer Advertising ◽  
The Capital Market

The authors aim to answer the following question: If the capital market reacts with abnormal stock returns to new product development success events, do these returns influence subsequent marketing decisions? Drawing on informational market feedback and managerial learning theories, the authors posit that when firms are uncertain about how responsive the product market will be to their marketing activities, signals received from the capital market help them update their beliefs about the product market’s responsiveness. In the pharmaceutical context, the authors decompose the abnormal returns at a new drug approval event into components that the firm can and cannot predict (i.e., predicted and unpredicted abnormal returns) and find that the postapproval advertising budget is larger when unpredicted abnormal approval returns are higher. Furthermore, this tendency is more pronounced for spending on detailing than for direct-to-consumer advertising. Consistent with these higher budgets, the authors find that postlaunch advertising is more effective when unpredicted abnormal approval returns are higher, particularly for detailing spending (vs. direct-to-consumer advertising). Overall, this study suggests that information flows from the capital market’s initial perceptions at new product introduction play an important role in subsequent marketing decisions in the product market.

scholarly journals The Impact of Interest Coverage Ratio on Value Relevance of Reported Earnings: Evidence from South Korea

2019 ◽  
Vol 11 (24) ◽  
pp. 7193
Author(s):  
Hyunmi Ji
Keyword(s):  
Capital Market ◽  
Stock Price ◽  
Value Relevance ◽  
Hypothesis Test ◽  
Forecast Error ◽  
Operating Income ◽  
Coverage Ratio ◽  
Reported Earnings ◽  
The Impact ◽  
The Capital Market

This study examined the usefulness of the cash-based interest coverage ratio (CICR). It also verified the usefulness of accrual-based interest coverage ratio (AICR), which is used as a criterion for exiting insolvent companies. This paper analyzed whether the value relevance of earnings to stock price differs according to various interest coverage ratios. The CICR is measured by dividing the cash generated from operations by the interest payments. AICR is measured by operating income divided by interest expenses. The research model for the hypothesis test of this study is based on the Ohlson model, which has been used for the test of stock value relevance in many previous studies. As a result of the empirical analysis, the CICR is used as useful information by the investors in the capital market. CICR is used as useful information in the capital market as an indicator of sustainability of profits. This study suggests that supervisors and financial institutions can make rational decision-making if they consider AICR and CICR as criteria for exiting insolvent companies. The contribution of this study was to suggest that the CICR can be a useful indicator for determining whether a company is insolvent due to its relatively low forecast error and high predictability.

scholarly journals PERHITUNGAN NILAI BETA DARI BEBERAPA SAHAM UNGGULAN DI INDONESIA DENGAN MENGGUNAKAN METODE GARCH

2016 ◽  
Vol 5 (2) ◽  
pp. 67
Author(s):  
NI KADEK PUSPITAYANTI ◽  
KOMANG DHARMAWAN ◽  
I PUTU EKA N. KENCANA
Keyword(s):  
Stock Returns ◽  
Capital Market ◽  
Stock Price ◽  
Secondary Data ◽  
Capital Gain ◽  
Economic Factors ◽  
Risky Assets ◽  
Daily Data ◽  
The Capital Market

The objective of investment in the capital market is to acquire dividends and capital gain. The fact proves that the advantage of investation risky assets is uncertain . This is because of the difficulty in analyzing and predicting Return and stock losses due to factors that affect the movement of the stock price , such as economic factors , political , social , and security. The model can be used by investors in predicting stock returns expected that Generalized Autoregressive Conditional Heteroscedaticity (GARCH). In this study calculations beta value of some leading stocks in Indonesia by using Generalized Autoregressive Conditional Heteroscedaticity (GARCH) are presented . The data used this search is secondary data covering daily data sampled 5 shares of PT Unilever Indonesia Tbk , PT Indosat Tbk , PT Indofood Sukses Makmur Tbk , PT Telkom Indonesia Tbk , PT Holcim Indonesia Tbk. From the results described fifth beta value of these shares using the method GARCH beta greater than the market in the period from 23 September 2013 until 24 September 2014.

PEMODELAN HARGA SAHAM BLUE CHIP MENGGUNAKAN VECTOR AUTOREGRESSIVE (VAR)

2016 ◽  
Vol 6 (2) ◽  
pp. 1
Author(s):  
Agus Suharsono ◽  
Aryo Wibisono
Keyword(s):  
Stock Market ◽  
Capital Markets ◽  
Capital Market ◽  
Stock Price ◽  
Stock Exchange ◽  
Rapid Development ◽  
Information Criterion ◽  
Profit Sharing ◽  
Blue Chip ◽  
The Capital Market

In a stock exchange in the capital market, the most in demand by investors is stocks. Shares are securities which shows the ownership of the company, so that shareholders have the right to a dividend or other distribution of profit sharing as well as by the company to its shareholders. The capital market is an indicator of economic progress and support the economy of a country. In this decade, the stock market has experienced rapid development due to pressure from technological change, liberalization and globalization. These changes affect the behavior of the capital markets and cause long-term balance and improving the relations between the world's capital markets. Otherwise interconnected capital markets if the two separate markets have the same movement and the correlation between the movement of the index. Capital markets in the region are likely to have the same movement and the effects of contagion (contagion effect) is high (1). During the observation period, October 2015 to March 2016, there was a phenomenon in which IHSG is not always the same and has a correlation with the movement of world stock market indices. It is also supported by the differences found in the results of some previous studies. The purpose of this study was to determine the relationship between stocks bluechip : Astra International Tbk (ASII), Unilever Indonesia Tbk (UNVR), Astra Agro Lestari Tbk (AALI), Bank Rakyat Indonesia Agroniaga (AGRO) and Bank Rakyat Indonesia (BRI ). The analytical method used in this study is Multivariate Time Series, especially Vector Autoregression (VAR). The results of this study with the model produces the best model VAR (2), AGRO = 11.56 - 4.03*ASII(-1) - 4.40*ASII(-2) + 3.76*UNVR(-1) + 1.27*UNVR(-2) + 1.38*AALI(-1) + 2.54*AALI(-2) + 0.73*AGRO(-1) + 0.14*AGRO(-2) + 5.40*BRI(-1) - 1.34*BRI(-2). The value of AIC (Akaike Information Criterion) = 4.47 Keywords: BLUE CHIP, Stock Price, VAR.

scholarly journals Is the Social Responsibility Information Disclosed by the Companies really Valuable?—Evidence from Chinese Stock Price Synchronicity

2018 ◽  
Vol 10 (10) ◽  
pp. 3578 ◽  
Author(s):  
Jingwen Dai ◽  
Chao Lu ◽  
Yang Yang ◽  
Yanhong Zheng
Keyword(s):  
Social Responsibility ◽  
Capital Market ◽  
Stock Price ◽  
Listed Companies ◽  
Market Pricing ◽  
Stock Price Synchronicity ◽  
Pricing Efficiency ◽  
Significant Difference ◽  
The Media ◽  
The Impact

Social responsibility information disclosed by listed companies is an important way to transfer non-financial information to the stock market, which affects the level of stock price synchronicity. In order to explore whether Corporate Social Responsibility (CSR) information is valuable in improving capital market pricing efficiency, this paper conducted empirical research based on a sample of China Shanghai and Shenzhen A-share listed companies in years 2010–2015. The results showed that: (1) Overall, there is a significant positive correlation between CSR information and stock price synchronicity; (2) under different disclosure motives, there is no significant difference in the impact of CSR on stock price synchronicity; (3) Securities analysts and institutional investors can negatively regulate the positive relationship between CSR and stock price synchronicity, while the media will intensify the positive effect of CSR on stock price synchronicity. This research is of great significance in promoting the fulfillment of CSR and improving capital market pricing efficiency.

scholarly journals LQ45 Stock Index Prediction using k-Nearest Neighbors Regression

2019 ◽  
Vol 8 (3) ◽  
pp. 2388-2391 ◽  
Keyword(s):  
Capital Market ◽  
Stock Prices ◽  
Stock Price ◽  
Stock Exchange ◽  
Numerical Data ◽  
Nearest Neighbors ◽  
Stock Index ◽  
K Nearest Neighbors ◽  
Stock Price Prediction ◽  
The Capital Market

The capital market is an organized financial system consisting of commercial banks, intermediary institutions in the financial sector and all outstanding securities. One of the benefits of the capital market is creating opportunities for the community to participate in economic activities, especially in investing. In daily stock trading activities, stock prices tend to have fluctuated. Therefore, stock price prediction is needed to help investors make decisions when they want to buy or sell their shares. One asset for investment is shares. One of the stock price indices that attracts many investors is the LQ45 stock index on the Indonesian stock exchange. One of the algorithms that can be used to predict is the k-Nearest Neighbors (kNN) algorithm. In the previous study, kNN had a higher accuracy than the moving average method of 14.7%. This study uses kNN regression method because it predicts numerical data. The results of the research in making the LQ45 stock index prediction application have been successfully built. The highest accuracy achieved reaches 91.81% by WSKT share.

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