The efficient market hypothesis suggests technical analysis has no role to play in determining stock or portfolio returns. In practice, however, a large number of investment managers employ technical analysis to generate excess returns or alpha relative to the market. In this study, I test an intermediate, to long-term horizon technical analysis measure, the 200 day moving average (MA200), to determine if it generates portfolio alpha. The top ten stocks by market value in the SPDR sectors Consumer Discretionary (XLY), Information Technology (XLK), and Health Care (XLV) are treated as stock portfolios and each stock’s MA 200 is used as the portfolio weighting metric. The weighting decision rules are: (1) P\u3eMA200 receives higher weights an...
Investors, analysts, and speculators alike have long searched for investment strategies that will ac...
In the paper titled “How rewarding is technical analysis? Evidence from Singapore stock market” [Won...
We developed a portfolio weighting model for the information technology sector with consumer spendin...
OBJECTIVES OF THE STUDY: This study focuses on profitability of technical analysis by comparing pro...
Rules based portfolios of stocks, often referred to as Smart Beta or Quant based portfolios, are inc...
While many investors (particularly those who subscribe to market efficiency) suggest that technical ...
Based on Rob Arnott’s foundational work on using stock fundamentals to weigh portfolios of stocks, I...
This study investigates the forecast power of technical analysis in the equity markets by applying ...
A central proposition in finance theory is that investors are risk averse and attempt to minimize th...
Technical analysis techniques are measured against the performance of a buy and hold strategy. The s...
In this study we develop concentrated portfolios of ten and twenty stocks for theS&P 500 Financial S...
Smart beta models are essentially factor weighting models with a focus on fundamental based stock we...
In highly volatile market periods, many investors tend to reduce their risk by purchasing large cap,...
We consider whether popular moving average and trading range breakout technical trading rules are pr...
In recent years a large number of Exchange Traded Funds (ETFs) have opted for fundamentals based por...
Investors, analysts, and speculators alike have long searched for investment strategies that will ac...
In the paper titled “How rewarding is technical analysis? Evidence from Singapore stock market” [Won...
We developed a portfolio weighting model for the information technology sector with consumer spendin...
OBJECTIVES OF THE STUDY: This study focuses on profitability of technical analysis by comparing pro...
Rules based portfolios of stocks, often referred to as Smart Beta or Quant based portfolios, are inc...
While many investors (particularly those who subscribe to market efficiency) suggest that technical ...
Based on Rob Arnott’s foundational work on using stock fundamentals to weigh portfolios of stocks, I...
This study investigates the forecast power of technical analysis in the equity markets by applying ...
A central proposition in finance theory is that investors are risk averse and attempt to minimize th...
Technical analysis techniques are measured against the performance of a buy and hold strategy. The s...
In this study we develop concentrated portfolios of ten and twenty stocks for theS&P 500 Financial S...
Smart beta models are essentially factor weighting models with a focus on fundamental based stock we...
In highly volatile market periods, many investors tend to reduce their risk by purchasing large cap,...
We consider whether popular moving average and trading range breakout technical trading rules are pr...
In recent years a large number of Exchange Traded Funds (ETFs) have opted for fundamentals based por...
Investors, analysts, and speculators alike have long searched for investment strategies that will ac...
In the paper titled “How rewarding is technical analysis? Evidence from Singapore stock market” [Won...
We developed a portfolio weighting model for the information technology sector with consumer spendin...