This study discusses about technical analysis signal and earnings-announcements timing. Technical analysis signal is used to capture price reaction around earnings announcements. Technical analysis is selected because it is competing information to fundamental information (Flanegin and Rudd 2005), especially in emerging market (Fifield et al., 2005). The longer reporting lag will result a tendency of bigger information leakage which make price reaction before announcements are stronger. That reaction produces a reliable technical analysis signal. By using Indonesian stock market data, the results show that (1) technical analysis signal generate bigger (lower) return for late (earlier) reporting, and (2) reporting lag positively affect to the performance of technical analysis signal that emerge before annual earnings announcements, especially in “buy signal” sample. These findings also indicate a tendency of bigger information leakage for companies that delay earnings announcements. This study contributes to build a bridge between technical analysis and earnings-announcement timing studies.

This study examines whether technical analysis signals can detect price reactions before and after earnings announcement dates in Indonesian stock market. Earnings announcements produce reactions, both before and after the announcements. Informed investors may use private information before earnings announcements (Christophe, Ferri and Angel, 2004; Porter, 1992). Using technical analysis signals, this study expects that retail investors (uninformed investors) can detect preannouncements reaction. Technical analysis is selected because it is a powerful strategy, especially in developing stock market (Fifield, Power, and Sinclair, 2005; Ahmed, Beck, and Goldreyer, 2000), including Indonesia (McKenzie, 2007). This study also examines technical analysis signals after earnings announcements. Using the idea that preannouncements reaction absorb post announcements reactions, this study expect that technical analysis signals difficult to detect price reaction after earnings announcements. Using Indonesian data over 2007-2011, the results show that technical analysis signal before earnings announcements can produce profit, but signals after earnings announcements do not produce same results. Using several different measures of return, the results are statistically robust. Based on those results, this study concludes that technical analysis signal can detect reaction before announcements, but the signals don't work after earnings announcements. These findings contribute to accounting and technical analysis literatures.

Libby, Mathieu and Robb (2002) investigate, among other things, the impact of intraday timing of earnings announcements on the bid-ask spread and depth for a sample of firms listed on the Toronto Stock Exchange. They document, in a univariate setting, that the spread is relatively wider and the depth lower after announcements declared during non-trading hours than after announcements released during trading hours. This study extends their research by (a) investigating earnings announcements declared by firms traded on the NYSE or AMEX, (b) addressing this issue in a multivariate setting, (c) exploring before-open and after-close announcements separately, and (d) analyzing the impact by half-hour interval. Interestingly, my results indicate, opposite to the findings by Libby et al (2002), that the spread is relatively smaller and the depth higher after overnight announcements than after daytime announcements. These findings are robust to firm-specific factors, cross-listings, differences in the content of daytime and overnight releases, and intraday timing consistency. In addition, this effect occurs after before-open and after after-close announcements, and the analysis by half-hour interval reveals that the impact on the spread (depth) lasts for four (seven) trading half-hours.

John J. Murphy has updated his landmark bestseller Technical Analysis of the Futures Markets, to include all of the financial markets. This outstanding reference has already taught thousands of traders the concepts of technical analysis and their application in the futures and stock markets. Covering the latest developments in computer technology, technical tools, and indicators, the second edition features new material on candlestick charting, intermarket relationships, stocks and stock rotation, plus state-of-the-art examples and figures. From how to read charts to understanding indicators and the crucial role technical analysis plays in investing, readers gain a thorough and accessible overview of the field of technical analysis, with a special emphasis on futures markets. Revised and expanded for the demands of today's financial world, this book is essential reading for anyone interested in tracking and analyzing market behavior.

Profit from earnings announcements, by taking targeted, short-term option positions explicitly timed to exploit them! Based on rigorous research and huge data sets, this book identifies the specific earnings-announcement trades most likely to yield profits, and teaches how to make these trades--in plain English, with real examples! Trading on Corporate Earnings News is the first practical, hands-on guide to profiting from earnings announcements. Writing for investors and traders at all experience levels, the authors show how to take targeted, short-term option positions that are explicitly timed to exploit the information in companies' quarterly earnings announcements. They first present powerful findings of cutting-edge studies that have examined market reactions to quarterly earnings announcements, regularities of earnings surprises, and option trading around corporate events. Drawing on enormous data sets, they identify the types of earnings-announcement trades most likely to yield profits, based on the predictable impacts of variables such as firm size, visibility, past performance, analyst coverage, forecast dispersion, volatility, and the impact of restructurings and acquisitions. Next, they provide real examples of individual stocks-and, in some cases, conduct large sample tests-to guide investors in taking advantage of these documented regularities. Finally, they discuss crucial nuances and pitfalls that can powerfully impact performance.

The latest cutting-edge research on market microstructure Based on the December 2010 conference on market microstructure, organized with the help of the Institut Louis Bachelier, this guide brings together the leading thinkers to discuss this important field of modern finance. It provides readers with vital insight on the origin of the well-known anomalous "stylized facts" in financial prices series, namely heavy tails, volatility, and clustering, and illustrates their impact on the organization of markets, execution costs, price impact, organization liquidity in electronic markets, and other issues raised by high-frequency trading. World-class contributors cover topics including analysis of high-frequency data, statistics of high-frequency data, market impact, and optimal trading. This is a must-have guide for practitioners and academics in quantitative finance.

Modeling Economic Growth in Contemporary Indonesia explores Indonesia's most recent business and economic developments with chapters covering topics such as SMEs, public companies, stock markets, government, or non-profit organizations to explain the economic growth and relevant factors.