scholarly journals KOMPARASI STRATEGI INVESTASI AKTIF DAN PASIF UNTUK OPTIMALKAN RETURN SAHAM YANG TERDAFTAR DI BURSA EFEK INDNESIA

2016 ◽  
Vol 7 (1) ◽  
pp. 41
Author(s):  
Venus Kusumawardana
Keyword(s):  
Stock Returns ◽  
Stock Prices ◽  
Technical Analysis ◽  
Research Note ◽  
Market Conditions ◽  
Strategy Method ◽  
Active Strategy ◽  
Passive Strategies ◽  
Passive Strategy

The purpose of this study was to test an active strategy (moving leverage) with a passive strategy (buy, sell and hold strategy) to determine which strategy to generate optimal returns with to compair of all strategy. Method by collecting data is then processed and analyzed using software ChartNexus. An indicators moving everage 5, 10, 30, bollingerband and compare the return of an active strategy with passive strategies. The results of this research note that suitable and appropriate technical analysis to forecast stock prices to determine buy, sell and hold, to optimize stock returns and shows that an active strategy is able to out perform a passive strategy when the market is bearish and volatile. The use of passive strategies can provide superior results, when used on a very bullish market conditions. Volatile market conditions that are more suitable to use the strategy of comparison between the strategies of active and passive strategies. 

Tonic immobility in pigs: two interpretations — coping strategies or fear

1997 ◽  
Vol 20 ◽  
pp. 109-110 ◽  
Author(s):  
H. W. Erhard ◽  
M. Mendl
Keyword(s):  
Coping Strategies ◽  
Tonic Immobility ◽  
Active Strategy ◽  
Passive Strategies ◽  
Pig Husbandry ◽  
Passive Strategy

The concept of ‘coping strategies’ has received increasing attention over the last few years. Benus et al. (1991) reported two major types of strategy in rodents. These were the so-called active and passive strategies. The active strategy consists of being aggressive, forming behavioural routines and showing low responsiveness to changes in the environment, the passive strategy involves being low aggressive, flexible and responsive to changes in the environment. Hessing et al. (1993) reported similar findings in pigs. These strategies have potential implications for pig husbandry, since they may be more or less adaptive in specific farming environments.

scholarly journals Fractional Black-Scholes Model and Technical Analysis of Stock Price

2013 ◽  
Vol 2013 ◽  
pp. 1-7 ◽  
Author(s):  
Song Xu ◽  
Yujiao Yang
Keyword(s):  
Stock Returns ◽  
Stock Prices ◽  
Stock Price ◽  
Technical Analysis ◽  
Stochastic Volatility Model ◽  
Black Scholes Model ◽  
Dependent Process ◽  
Large Numbers ◽  
Volatility Model ◽  
Black Scholes

In the stock market, some popular technical analysis indicators (e.g., Bollinger bands, RSI, ROC, etc.) are widely used to forecast the direction of prices. The validity is shown by observed relative frequency of certain statistics, using the daily (hourly, weekly, etc.) stock prices as samples. However, those samples are not independent. In earlier research, the stationary property and the law of large numbers related to those observations under Black-Scholes stock price model and stochastic volatility model have been discussed. Since the fitness of both Black-Scholes model and short-range dependent process has been questioned, we extend the above results to fractional Black-Scholes model with Hurst parameterH>1/2, under which the stock returns follow a kind of long-range dependent process. We also obtain the rate of convergence.

Research of Building Intelligent Investment Decision Mode for Investment Portfolio — Using Taiwan Electronic Stock as an Example

2010 ◽  
Vol 13 (04) ◽  
pp. 621-645 ◽  
Author(s):  
Wen-Rong Jerry Ho ◽  
C. H. Liu ◽  
H. W. Chen
Keyword(s):  
Stock Returns ◽  
Stock Prices ◽  
Stock Exchange ◽  
Investment Decision ◽  
Investment Strategy ◽  
Return Rate ◽  
Selection Strategy ◽  
Stock Selection ◽  
Taiwan Stock Exchange ◽  
Book To Market Ratio

This research uses all of the listed electronic stocks in the Taiwan Stock Exchange as a sample to test the performance of the return rate of stock prices. In addition, this research compares it with the electronic stock returns. The empirical result shows that no matter which kind of stock selection strategy we choose, a majority of the return rate is higher than that of the electronics index. Evident in the results, the predicted effect of BPNN is better than that of the general average decentralized investment strategy. Furthermore, the low price-to-earning ratio and the low book-to-market ratio have a significant long-term influence.

Studying the Effect of Changing the Managing Director on the Abnormal Returns of Shares of Companies Listed on the Iraqi Stock Exchange

2021 ◽  
Vol 39 (11) ◽  
Author(s):  
Hussein Hasan ◽  
Hudaa Nadhim Khalbas ◽  
Farqad Mohammed Bakr AL Saadi
Keyword(s):  
Stock Returns ◽  
Significant Relationship ◽  
Stock Prices ◽  
Market Reaction ◽  
Stock Exchange ◽  
Hypothesis Test ◽  
Abnormal Returns ◽  
The Other ◽  
Other Hand ◽  
Abnormal Stock Returns

The aim of this research is to study the market reaction to the change of the managing director and how this change affects the abnormal returns of the shares. The research is based on the information published by the companies listed on the Iraq Stock Exchange, and 35 companies were selected for the period from 2015 to 2019. The results of the hypothesis test for this study show that there is a negative and significant relationship between the change of the managing director and abnormal stock returns. On the other hand, investors undervalue stock prices when changing CEOs. As a result, the stock returns are less than expected.

Perbandingan harga saham, volume transaksi dan return saham sebelum dan sesudah terjadi pandemi covid-19 pada PT Agung Podomoro Land, Tbk

2021 ◽  
Vol 5 (4) ◽  
pp. 720
Author(s):  
Anggun Putri Romadhina ◽  
Eka Kusuma Dewi
Keyword(s):  
Stock Returns ◽  
Stock Prices ◽  
Stock Price ◽  
Research Data ◽  
Paired Sample ◽  
First Case ◽  
Significant Difference ◽  
Before And After ◽  
Stock Transaction

The first Covid-19 case in Indonesia was announced on March 2, 2020. This study aims to determine whether there is a significant difference in stock prices, stock transaction volume and stock returns due to the COVID-19 pandemic (case study at PT. Agung Podomoro Land, Tbk). This research data was taken 90 days before and 90 days after the announcement of the first case of COVID-19 in Indonesia. The data was processed by paired sample t-test, using SPSS version 20. From the results of data processing, it was shown that there was a significant difference in stock prices before and after the announcement of the first case of covid-19 in Indonesia. This is indicated by a significance value of 0.000 < 0.05 where the stock price has decreased compared to before the Covid-19 case. Meanwhile, the volume of stock transactions also showed a significant difference with a significance value of 0.007 <0.05, where the volume of stock transactions after the announcement showed a decrease. Likewise, stock returns show a significant difference with a significance value of 0.025 < 0.05 where stock returns have decreased after the announcement of the first case of covid-10 in Indonesia.  

scholarly journals Unknown Unknowns: Uncertainty About Risk and Stock Returns

2018 ◽  
Vol 53 (4) ◽  
pp. 1615-1651 ◽  
Author(s):  
Guido Baltussen ◽  
Sjoerd van Bekkum ◽  
Bart van der Grient
Keyword(s):  
United States ◽  
Stock Returns ◽  
Stock Prices ◽  
Stock Markets ◽  
The United States ◽  
Pricing Mechanism ◽  
European Stock Markets ◽  
Low Uncertainty ◽  
High Uncertainty

Stocks with high uncertainty about risk, as measured by the volatility of expected volatility (vol-of-vol), robustly underperform stocks with low uncertainty about risk by 8% per year. This vol-of-vol effect is distinct from (combinations of) at least 20 previously documented return predictors, survives many robustness checks, and holds in the United States and across European stock markets. We empirically explore the pricing mechanism behind the vol-of-vol effect. The evidence points toward preference-based explanations and away from alternative explanations. Collectively, our results show that uncertainty about risk is highly relevant for stock prices.

scholarly journals Analysis of Asset Growth Anomaly on Cross-Section Stock Returns: Evidence from Indonesia Stock Exchange

2017 ◽  
Vol 20 (1) ◽  
pp. 47
Author(s):  
Muhammad Iqbal ◽  
Buddi Wibowo
Keyword(s):  
Risk Factor ◽  
Stock Returns ◽  
Cross Section ◽  
Stock Prices ◽  
Stock Exchange ◽  
High Growth ◽  
Growth Effect ◽  
Market Anomalies ◽  
Growth Anomaly ◽  
Asset Growth

Assorted types of market anomalies occur when stock prices deviate from the prediction of classical asset pricing theories. This study aims to examine asset growth anomaly where stocks with high asset growth will be followed by low returns in the subsequent periods. This study, using Indonesia Stock Exchanges data, finds that an equally-weighted low-growth portfolio outperforms high-growth portfolio by average 0.75% per month (9% per annum), confirming existence of asset growth anomaly. The analysis is extended at individual stock-level using fixed-effect panel regression in which asset growth effect remains significant even with controlling other variables of stock return determinants. This study also explores further whether asset growth can be included as risk factor. Employing two-stage cross-section regression in Fama and Macbeth (1973), the result aligns with some prior studies that asset growth is not a new risk factor; instead the anomaly is driven by mispricing due to investors’ overreaction and psychological bias. This result imply that asset growth anomaly is general phenomenon that can be found at mostly all stock market but in Indonesia market asset growth anomaly rise from investors’ overreaction, instead of  playing as a factor of risk.

scholarly journals FACTORS AFFECTING OPERATING CASH FLOW TO STOCK RETURN THROUGH STOCK PRICE

2018 ◽  
Vol 5 (2) ◽  
Author(s):  
Aprih . Santoso
Keyword(s):  
Stock Returns ◽  
Cash Flow ◽  
Stock Prices ◽  
Stock Price ◽  
Stock Return ◽  
Stock Exchange ◽  
Sampling Technique ◽  
Financial Statements ◽  
Manufacturing Companies ◽  
Operating Cash Flow

Abstract : Companies need funds in order to carry out operations such as the financing of production activities, pay employees, pay other expenses related to the operation of the company. One way to obtain these funds is to attract investors to invest in companies in the form of stock, but in making this investment is certainly not easy for investors, because investors need consideration beforehand to find out how the company's performance. The purpose of this study was to examine and analyze the effect of operating cash flow to stock return through stock price at companies listed on the Stock Exchange Year 2012-2015. The data used in this study dala are secondary data from the financial statements of companies listed on the Indonesia Stock Exchange period 2012 - 2015. The data are in the form of financial statements can be obtained from the Indonesian Capital Market Directory (ICMD), the IDX website www.idx.co. id as well as from various other sources to support this research. The population in this research is manufacturing companies listed on the Stock Exchange the period 2012 - 2015. The samples taken by the sampling technique used purposive sampling.From the test results and analysis of the data it can be concluded that operating cash flow directly and indirectly has no effect on stock returns through stock prices showed no significant results. Keywords :  Operating Cash Flow, Stock Price, Stocks Return

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.

Sign in / Sign up

Export Citation Format

Share Document