Momentum profits in Australian listed property trusts

This paper examines the profitability of momentum trading strategies in Australian listed property trusts (LPTs). Monthly value-weighted momentum portfolios are formed using the monthly excess returns of LPTs for the period from 1990 to 2005. Overall the findings confirm that a momentum trading strategy in Australian LPTs is a profitable strategy. More specifically, momentum strategies are profitable after adjusting for variance and downside risk where the momentum returns substantially outperform the benchmark. An analysis using different study periods confirm the findings about momentum. The practical implication from this study is that investors can generate substantial abnormal returns by adopting a momentum trading strategy, particularly with a long strategy (i.e. winner portfolios).

Intraday volatility interaction between the crude oil and equity markets

This paper investigates the price volatility interaction between the crude oil and equity markets in the US using 5-min data over the period 2009-2012. Our main findings can be summarised as follows. First, we find strong evidence to demonstrate that the integration of the bid-ask spread and trading volume factors leads to a better performance in predicting price volatility. Second, trading information, such as bid-ask spread, trading volume, and the price volatility from cross-markets, improves the price volatility predictability for both in-sample and out-of-sample analyses. Third, the trading strategy based on the predictive regression model that includes trading information from both markets provides significant utility gains to mean-variance investors.

Does financial news predict stock returns? New evidence from Islamic and Non-Islamic stocks

The paper extends the time-series financial news data set constructed by Garcia (2013) and uses it to examine whether financial news predicts returns of Islamic stocks differently compared to non-Islamic (conventional) stocks. We find that they do. First, while both positive and negative worded news predict most Islamic and conventional stock returns, positive words have a larger impact on both types of stock returns. Second, shock to returns from financial news reverses only in part for some stocks. Third, for a mean-variance investor, investing in Islamic stocks is relatively more profitable than investing in the corresponding conventional stocks. Fourth, we show that profits are robust to a range of time-series risk factors, namely, market risk, size-based risk, and momentum-induced risk.

What is the value of corporate sponsorship in sports?

This paper investigates the stock market reaction to investor mood swings resulting from the Indian Premier League (IPL) cricket matches. We find that stocks listed on the Bombay Stock Exchange (BSE) that sponsor the IPL cricket are unaffected by the cricket matches. This finding is robust along two lines: (a) the effect is insignificant both statistically and economically which we demonstrate using a simple trading strategy; and (b) results hold across a wide range of portfolios. Our results, both statistical and trading strategy-based, suggest that the portfolios of companies that sponsor cricket in India are efficient. Our findings stand in sharp contrast to the evidence obtained by the broader sports literature suggesting that sports actually impact stock returns, driven principally by psychological factors.

Ecommerce strategy in a multi-sector trading environment - quandaries for SMEs

For nearly a decade the potential benefits of Business-to-Business electronic commerce for business efficiency and competitiveness have been vigorously promoted by business, industry groups and governments. The belief underpinning policy is that from a small initial step, eCommerce will become a central part of their business strategies. This paper considers the use of B-2-B electronic transactions by SME suppliers who trade with buyer companies across diverse industry sectors in Australia. We investigate the links between their business strategies and their views of electronic trading. A survey of 240 crosssector suppliers nationwide found little evidence that electronic trading was integrated with their overall business strategy. We suggest an approach to the understanding of cross-sector electronic trading strategies that emphasises the complex, inter-connected but fragmented trading milieu rather than describing the balance between drivers and barriers that operate for the individual firm.

There is something about pairs trading

The process of pairs trading involves exhaustively matching and ranking pairwise stocks based on some prespecified measure of closeness; e.g., correlation, cointegration, sum-of-squared price difference. Pairs trading is popular for various reasons. It is simple to follow and execute. The pairwise portfolio can be nearly market-neutral, such that it does not require the comprehensive analysis of macroeconomic news. Since it is based on relative valuation, the actual worth of individual firms is not a pertinent consideration. The strategy is sufficiently flexible to accommodate various investment styles. Lastly, it does not evoke frequent intraday rebalancing, such that pairs trading can be automated to a certain extent and be cost-feasibly profitable. Despite its long history on Wall Street, pairs trading remains elusive in nature. The academic attention it attracts is modest compared to contrarian and momentum trading.

Negotiation strategy for mobile agent-based e-negotiation

Negotiation is a vital component of electronic trading. It is the key decision-making approach used to reach consensus between trading partners. Generally, the trading partners implement various negotiation strategies in an attempt to maximize their utilities. As negotiation strategies have impact on the outcomes of negotiation, it is imperative to have efficient negotiation strategies that truly maximize clients’ utilities. In this paper, we propose a multi-attribute mobile agent-based negotiation strategy that maximizes client’s utility. The strategy focuses on one-to-many bilateral negotiation. It considers different factors that have significant effect on the scheduling of various negotiation phases: offer collection, evaluation, negotiation, and bid settlement. The factors include offers expiry time, market search space, communication delays, processing queues, and transportation times. We reasoned about the correctness of the proposed negotiation strategy with respect to the existing negotiation strategies. The analysis showed that the proposed strategy boosts client’s utility, shortens negotiation time, and ensures adequate market search.