Investors Need Reliable Signals: 50- and 200-Day Moving Averages, Money Flow, Relative Strength, and Directional Movement, with Apple, Home Depot and Wal-Mart Exhibits

2013 ◽  
pp. 281-294
Keyword(s):  
Relative Strength ◽  
Moving Averages ◽  
Directional Movement ◽  
Money Flow ◽  
Home Depot

scholarly journals Technical Financial Analysis Tools for Stata

2017 ◽  
Vol 17 (3) ◽  
pp. 736-747 ◽  
Author(s):  
Mehmet F. Dicle ◽  
John D. Levendis
Keyword(s):  
Financial Analysis ◽  
Moving Average ◽  
Technical Analysis ◽  
Relative Strength ◽  
Analysis Tool ◽  
Investment Strategies ◽  
Moving Averages ◽  
Strength Index ◽  
Analysis Tools

In this article, we provide four financial technical analysis tools: moving averages, Bollinger bands, moving-average convergence divergence, and the relative strength index. The tftools command is used with four subcommands, each referring to a technical analysis tool: bollingerbands, macd, movingaverage, and rsi. We provide examples for each tool. tftools allows researchers to backtest their own investment strategies and will be of interest to investors, researchers, and students of finance.

scholarly journals Sentiment and Stock Returns: A Case for Conventional and Islamic equities in Pakistan

2020 ◽  
Vol 12 (3) ◽  
pp. 1-22
Author(s):  
Sana Tauseef
Keyword(s):  
Stock Returns ◽  
Stock Exchange ◽  
Investor Sentiment ◽  
Principal Component ◽  
Relative Strength ◽  
Firm Level ◽  
Market Sentiment ◽  
Level Data ◽  
Money Flow ◽  
Auto Regression

The study constructs market sentiment index over the period from August 2009 to June 2019 and examines the causality between market sentiment and returns for conventional and Islamic stocks in Pakistan. Using the firm-level data for all stocks listed on Pakistan Stock Exchange, market sentiment index is constructed as the first principal component of six variables: advances-to-decline, premium on dividends, price-to-earnings, relative strength, money flow and turnover rate. We employ the Vector auto-regression model to examine the two-way causal relationship between investor sentiment and aggregate stock return. Our results show that market sentiment has strong predictive power for subsequent conventional stock returns. Sentiment based trading actions of the investors cause persistence in conventional stock returns for one month; however, as these stocks become overpriced, the price movement reverses in two months’ time. In contrast, we do not find any significant association between market sentiment and Islamic stock returns. Our findings are suggestive of different dynamics and investor behavior in Islamic financial markets of Pakistan and along with the existing literature documenting Islamic stocks performance to be at least as good as the conventional stock can be a comfort to the Muslim Investors and may serve as the catalyst to stimulate the growth of Islamic equities.

scholarly journals A effectiveness of technical indicators - a study on cnx it indices

2012 ◽  
Vol 1 (2) ◽  
pp. 81-90
Author(s):  
Prabhakaran K ◽  
Nagarajan S
Keyword(s):  
Secondary Data ◽  
Relative Strength ◽  
Future Trend ◽  
Flow Index ◽  
Strength Index ◽  
Price Movement ◽  
Technical Indicators ◽  
Stochastic Oscillator ◽  
Money Flow ◽  
Time Periods

There are numerous technical tools available to predict future trend of index prices. All tools may not be effective for all the companies and at all times. The purpose of this study is to find out the effectiveness of technical tools in predicting the index price movement. The research is based on secondary data collected from various websites. The data is collected for two different time periods representing the bullish and bearish seasons. The technical indicators taken for the study are Relative Strength Index (RSI), Money Flow Index (MFI) and On Balance Volume (OBV). From the study it is found that Relative Strength Index, Money Flow Index and On Bonus Volume are effective in predicting the index movement CNX IT during the Bullish period and during the Bearish period, Stochastic Oscillator isdeemed effective.

scholarly journals Profitability of Candlestick Charting Patterns in the Stock Exchange of Thailand

SAGE Open ◽  
2017 ◽  
Vol 7 (4) ◽  
pp. 215824401773679 ◽  
Author(s):  
Piyapas Tharavanij ◽  
Vasan Siraprapasiri ◽  
Kittichai Rajchamaha
Keyword(s):  
Stock Exchange ◽  
Relative Strength ◽  
Binomial Test ◽  
Flow Index ◽  
Test Results ◽  
Exit Strategy ◽  
Holding Period ◽  
Daily Data ◽  
Stock Exchange Of Thailand ◽  
Money Flow

This article investigates the profitability of candlestick patterns. The holding periods are 1, 3, 5, and 10 days. Two exit strategies are studied. One is the Marshall–Young–Rose (MYR) exit strategy and the other is the Caginalp–Laurent (CL) exit strategy. The MYR applies a prespecified date to exit the market. In contrast, the CL sets an exit price equal to an average holding period closing price, assuming that investors liquidate their positions evenly within this period. The daily data include open, high, low, and close prices of component stocks of the SET50 index (the 50 largest capitalization stocks in the Stock Exchange of Thailand [SET]) for a 10-year period from July 3, 2006, to June 30, 2016. This study tests the predictive power of bullish and bearish candlestick reversal patterns both without technical filtering and with technical filtering (Stochastics [%D], Relative Strength Index [RSI], Money Flow Index [MFI]) by applying the skewness adjusted t test and the binomial test. The statistical analysis finds little use of both bullish and bearish candlestick reversal patterns since the mean returns of most patterns are not statistically different from zero. Even the ones with statistically significant returns do have high risks in terms of standard deviations. The binomial test results also indicate that candlestick patterns cannot reliably predict market directions. In addition, this article finds that filtering by %D, RSI, or MFI generally does not increase profitability nor prediction accuracy of candlestick patterns.

Comparison of Thrombelastography with Common Coagulation Tests

1981 ◽  
Vol 46 (04) ◽  
pp. 752-756 ◽  
Author(s):  
L Zuckerman ◽  
E Cohen ◽  
J P Vagher ◽  
E Woodward ◽  
J A Caprini
Keyword(s):  
Laboratory Tests ◽  
Clinical Utility ◽  
Blood Clotting ◽  
Strong Relationship ◽  
Relative Strength ◽  
Additional Information ◽  
Patients With Cancer ◽  
Two Samples ◽  
Coagulation Tests ◽  
Common Laboratory

SummaryThrombelastography, although proven as a useful research tool has not been evaluated for its clinical utility against common coagulation laboratory tests. In this study we compare the thrombelastographic measurements with six common tests (the hematocrit, platelet count, fibrinogen, prothrombin time, activated thromboplastin time and fibrin split products). For such comparisons, two samples of subjects were selected, 141 normal volunteers and 121 patients with cancer. The data was subjected to various statistical techniques such as correlation, ANOVA, canonical and discriminant analysis to measure the extent of the correlations between the two sets of variables and their relative strength to detect blood clotting abnormalities. The results indicate that, although there is a strong relationship between the thrombelastographic variables and these common laboratory tests, the thrombelastographic variables contain additional information on the hemostatic process.

Hour-Glass Neural Network Based Daily Money Flow Estimation for Automatic Teller Machines

2009 ◽  
Vol 129 (7) ◽  
pp. 1325-1330
Author(s):  
Stephen Karungaru ◽  
Takuya Akashi ◽  
Miyoko Nakano ◽  
Minoru Fukumi
Keyword(s):  
Neural Network ◽  
Flow Estimation ◽  
Money Flow ◽  
Automatic Teller Machines

The quantitative and qualitative contributions of faith based organizations to healthcare: The Kenya case

2017 ◽  
Vol 4 (3) ◽  
pp. 60-71 ◽  
Author(s):  
Alfredo Fort
Keyword(s):  
Health Facility ◽  
Management Practices ◽  
Developing World ◽  
Weighted Average ◽  
Relative Strength ◽  
For Profit ◽  
Faith Based ◽  
Non Governmental Organizations ◽  
Faith Based Organizations ◽  
The Government

Though difficult to ascertain because faith based organizations (FBOs) might keep a low profile, be confused with other non-governmental organizations (NGOs), or survey respondents may not know the nature of facilities attended to, these organizations have a long presence in teaching health personnel and delivering health services in many rural and remote populations in the developing world. It is argued that their large networks, logistics agreements with governments, and mission-driven stance brings them closer to the communities they serve, and their services believed of higher quality than average. Kenya has a long history of established FBOs substantial recent health investment by the government. We aimed to find the quantitative and qualitative contributions of FBOs by analyzing two recent data sources: the live web-based nationwide Master Health Facility List, and the 2010 nationwide Service Provision Assessment (SPA) survey. Using this information, we found that FBOs contribute to 11% of all health facilities’ presence in the country, doubling to 23% of all available beds, indicating their relative strength in owning mid-level hospitals around the country. We also constructed an index of readiness as a weighted average from services offered, good management practices and availability of medicines and commodities for 17 items assessed during the SPA survey. We found that FBOs topped the list of managing authorities, with 70 percent of health facility readiness, followed closely by the government at 69 percent, NGOs at 61 percent and lastly a distant private for profit sector at 50 percent. These results seem to indicate that FBOs continue to contribute to an important proportion of health care coverage in Kenya, and that they do so with a relatively high quality of care among all actors. It would be of interest to replicate the analysis with similar databases for other countries in the developing world.

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