https://ojs.aut.ac.nz/applied-finance-letters/issue/feed Applied Finance Letters 2017-03-03T19:56:17+13:00 Prof. Bart Frijns acfr@aut.ac.nz Open Journal Systems Applied Finance Letters publishes mainly empirical research with implications and relevance for academia and finance industry. The aim is to encourage high-quality contributions that foster discussions among academics, policy makers and financial practitioners. The Journal welcomes submissions from all fields of finance, and is especially interested in innovative and original contributions. https://ojs.aut.ac.nz/applied-finance-letters/article/view/49 Existence and Exploitability of Financial Analysts' Informational Leadership 2017-03-03T19:56:15+13:00 Rainer Baule rainer.baule@fernuni-hagen.de Hannes Wilke hanneswilke@googlemail.com This paper bridges two recent studies on the role of analysts to provide new and relevant information to investors. On the one hand, the contribution of analysts to long-term price discovery on the US market is rather low. Considering earnings per share forecasts as the main output of analysts’ reports, their information share amounts to only 4.6% on average. On the other hand, trading strategies set up on these EPS forecasts are quite profitable. Self-financing portfolios yield excess returns of more than 5% over the S&amp;P 100 index for a time period of 36 years, which is persistent after controlling for the well-known risk factors. In this paper, we discuss the link between the low information shares and the high abnormal returns. We argue that information shares of analysts cannot be higher, because otherwise their forecasts would lead to excessively profitable trading strategies which are very unlikely to persist over such a long period of time. 2016-12-31T00:00:00+13:00 ##submission.copyrightStatement## https://ojs.aut.ac.nz/applied-finance-letters/article/view/46 Board Composition and Innovation 2017-03-03T19:56:13+13:00 Zenu Sharma bfrijns@gmail.com <p>Corporate boards make key economic and financial decisions. Diversity in the boardroom, on hand can lead to higher innovation by increasing interaction between heterogeneous agents; on the other hand it can lead to more conflict based on the predictions of social identity theory. In an examination of US firms from 1999 to 2006, this study finds that demographic diversity; directors’ individual characteristics and affiliation are associated with higher innovation in form of patents and quality of innovation in form of citations.</p> 2016-12-31T00:00:00+13:00 ##submission.copyrightStatement## https://ojs.aut.ac.nz/applied-finance-letters/article/view/47 Multidimensional Liquidity: Evidences from Indian Stock Market 2017-03-03T19:56:14+13:00 Sharad Nath Bhattacharya sharadbhattacharya@gmail.com Pramit Sengupta pramit.sg@gmail.com Mousumi Bhattacharya msb@iimshillong.ac.in Basav Roychoudhury brc@iimshillong.ac.in <p>Various dimensions of liquidity including breadth, depth, resiliency, tightness, immediacy are examined using BSE 500 and NIFTY 500 indices from Indian Equity market. Liquidity dynamics of the stock markets were examined using trading volume, trading probability, spread, Market Efficiency coefficient, and turnover rate as they gauge different dimensions of market liquidity. We provide evidences on the order of importance of these liquidity measures in Indian stock market using machine learning tools like Artificial Neural Network (ANN) and Random Forest (RF). Findings reveal that liquidity variables collectively explains the movements of stock markets. Both these machine learning tools performs satisfactorily in terms of mean absolute percentage error. We also evidenced lower level of liquidity in Bombay Stock Exchange (BSE) than National Stock Exchange (NSE) and findings supports the liquidity enhancement program recently initiated by BSE.</p> 2016-12-31T00:00:00+13:00 ##submission.copyrightStatement## https://ojs.aut.ac.nz/applied-finance-letters/article/view/54 Moving Average Trading Rules for NASDAQ Composite Index 2017-03-03T19:56:17+13:00 Chien-Ping Chen chenc@uhv.edu <p>This paper tests a few moving average technical trading rules for the NASDAQ Composite and Goldman Sack commodity indexes from 1972 to 2015. Our results indicate that moving average rules do exhibit strong predictive power for NADSAQ composite index but much weaker predictive power for GSCI. Can a trader use this predictive to beat the B&amp;H strategy? We show that MA-100 days could most of the time make an abnormal profit in the case of NASDAQ composite index by considering both transaction costs and risk. </p> 2016-12-31T00:00:00+13:00 ##submission.copyrightStatement##