Hot and Cold Strategies: Australian Evidence

2011 ◽  
Vol 14 (02) ◽  
pp. 271-295 ◽  
Author(s):  
Vikash Ramiah ◽  
Tafadzwa Mugwagwa ◽  
Tony Naughton
Keyword(s):  
Stock Returns ◽  
Asset Allocation ◽  
High Frequency ◽  
Trading Volume ◽  
Stock Exchange ◽  
Short Selling ◽  
Investment Strategies ◽  
Tactical Asset Allocation ◽  
Momentum Trading ◽  
The Relationship

The main purpose of this paper is to explore a high-frequency tactical asset allocation strategy. In particular, we investigate the profitability of momentum trading and contrarian investment strategies for equities listed on the Australian Stock Exchange (ASX). In these two strategies we take into consideration the short-selling restrictions imposed by the ASX on the stocks used. Within our sample portfolios we look at the relationship between stock returns and past trading volume for these equities. This research also investigates the seasonal aspects of contrarian portfolios and observes weekly, monthly and yearly effects. We report significant contrarian profits for the period investigated (from 2001 to 2006) and show that contrarian profit is a persistent feature for the strategies examined. We also document that contrarian portfolios earn returns as high as 6.54% per day for portfolios with no short-selling restrictions, and 4.71% in the restricted model. The results also support the view that volume traded affects stock returns, and show that market imperfections such as short-selling restrictions affect investors' returns.

Dynamic Asset Allocation Techniques

2009 ◽  
Vol 15 (3) ◽  
pp. 573-655 ◽  
Author(s):  
S. Jarvis ◽  
A. Lawrence ◽  
S. Miao
Keyword(s):  
Asset Allocation ◽  
Investment Strategy ◽  
Trading Strategies ◽  
Investment Strategies ◽  
Dynamic Asset Allocation ◽  
Dynamic Investment ◽  
Tactical Asset Allocation ◽  
Relationship Of ◽  
The Relationship

ABSTRACTInvestment strategy is often static, punctuated by infrequent reviews. For most long-term investors, this practice results in large risks being taken that could otherwise be managed with a more dynamic investment policy. The bulk of this paper is aimed at analysing and describing two multi-period investment strategy problems — in order to derive potential dynamic strategies. Along the way, we show how static investment strategies can fail to deliver an investor's long-term objectives and describe the relationship of our work to other areas of the finance literature. This paper does not cover trading strategies such as Tactical Asset Allocation.This paper sets out two main approaches to the multi-period problem. The first approach optimises a utility function. The second approach uses partial differential equation (PDE) technology to optimise a target statistic (in this case, TailVaR) subject to return and long-only constraints.

scholarly journals Does Investors’ Divergence of Opinion Affect Stock Mispricing?

2021 ◽  
Vol 10 (1) ◽  
pp. 1-24
Author(s):  
Diogo Silva ◽  
António Cerqueira
Keyword(s):  
Stock Returns ◽  
Trading Volume ◽  
Stock Exchange ◽  
Short Selling ◽  
Idiosyncratic Volatility ◽  
Exchange Market ◽  
Divergence Of Opinion ◽  
Stock Mispricing ◽  
Explicit Measures ◽  
Comprehensive Study

The main purpose of this study is to address the association between investors’ divergence of opinion (DIVOP) and stock mispricing for UK firms listed in the London Stock Exchange Market. Previous research on this topic has provided mixed results. Some studies provide evidence consistent with the overpricing hypothesis, which indicates that DIVOP leads to overpricing because the market overweighs the most optimistic valuations, since optimistic investors can always buy a stock but pessimistic investors can only sell a stock if they already own it or need rely on short-selling, which has costs. Other studies support the underpricing hypothesis, which proposes that DIVOP works as a price risk factor that generates underpricing. We develop an empirical analysis that do not depend on the interpretation of abnormal future stock returns to assess contemporaneous mispricing. We use five explicit measures of mispricing. Also, to safeguard the development of a comprehensive study, we use three kinds of proxies of DIVOP, based on idiosyncratic volatility, dispersion in analysts’ forecasts and unexpected trading volume. The results show a positive significant association between DIVOP and stock mispricing on a yearly basis. This association is stronger for underpriced stocks, which is consistent with the underpricing hypothesis, and indicates that DIVOP signals risk. An implication of this study is that firms have incentives to provide high-quality and explicit information to limit DIVOP and avoid being underpriced.

Do Financially Constrained Firms Earn Higher Returns than the Unconstrained Firms? A Comprehensive Evidence from Pakistan Stock Exchange

2020 ◽  
Keyword(s):  
Time Series ◽  
Asset Pricing ◽  
Capital Structure ◽  
Stock Returns ◽  
Financial Constraints ◽  
Stock Exchange ◽  
Cash Flows ◽  
Total Asset ◽  
Cash Holding ◽  
The Relationship

This paper examines the relationship between financial constraints and the stock returns explaining the pricing of stock through financially constrained and unconstrained firms in Pakistan. Three proxies; total assets, tangible to total assets and cash holding to total assets ratios) have been used for financial constraints and the study tried to investigate that either the investors are compensated for taking the extra risk or not in Pakistan Stock Exchange (PSX). We find that the financially constrained firms don’t earn higher returns when their capital structure is heavy with liquid assets and their cash flows are more than the unconstrained firms in PSX. Moreover, the time series results showed that the risk-adjusted returns of the most constrained firms give the mix and somewhat negative and significant and insignificant results for the Pakistani firms listed in PSX sorted based on tangible to total assets and Cash holding to total asset ratios. Keywords: Asset Pricing, Financial constraints, risk-adjusted performance of portfolios

scholarly journals PENGARUH PENERBITAN SUKUK TERHADAP REAKSI PASAR (SURVEY TERHADAP PERUSAHAAN-PERUSAHAAN YANG MENERBITKAN OBLIGASI SYARIAH YANG TERDAFTAR DIBURSA EFEK INDONESIA SELAMA TAHUN 2015)

2019 ◽  
Vol 4 (3) ◽  
pp. 496-503
Author(s):  
Mulya Iskandar ◽  
Ridwan Ridwan
Keyword(s):  
Stock Returns ◽  
Abnormal Return ◽  
Research Method ◽  
Quantitative Research ◽  
Stock Exchange ◽  
Secondary Data ◽  
Cumulative Abnormal Return ◽  
Market Reactions ◽  
Independent Variables ◽  
The Relationship

This study aims to determine how the influence of a sukuk instrument issuance on market reactions listed on the Indonesia Stock Exchange (IDX) during 2015. The research method used in this study is quantitative research. Quantitative research contains a relationship between cause and effect. The type of data used is secondary data, data collection used by the author is to know the relationship between two or more variables. The object to be examined in this study is the total value and rating of the issuance of Islamic bonds (sukuk) companies as independent variables and cumulative abnormal return shares of companies that issue Islamic bonds (sukuk) listed on the Indonesia Stock Exchange in 2015. The results of this study indicate the value of sukuk bond issuance and sukuk bond issuance ratings jointly affect stock returns. The value of issuing sukuk bonds partially affects stock returns and the rating of bond issuance has an effect on return.

scholarly journals Hubungan Perilaku Perdagangan Investor Dengan Volume Perdagangan Di Bursa Efek Indonesia

2009 ◽  
Vol 2 (1) ◽  
Author(s):  
Ghazali Syamni
Keyword(s):  
Trading Volume ◽  
Stock Exchange ◽  
Time Interval ◽  
Time Intervals ◽  
Using Data ◽  
Changes Over Time ◽  
Relationship Of ◽  
The Relationship ◽  
Order Pattern ◽  
Over Time

This paper examines the relationship of behavior trading investor using data detailed transaction history-corporate edition demand and order history in Indonesia Stock Exchange during period of March, April and May 2005. Peculiarly, behavior placing of investor order at trading volume. The result of this paper indicates that trading volume order pattern to have pattern U shape. The pattern happened that investors have strong desires to places order at the opening and close of compared to in trading periods. While the largest orders are of market at the opening indicates that investor is more conservatively when opening, where many orders when opening has not happened transaction to match. In placing order both of investor does similar strategy. By definition, informed investors’ orders more large than uninformed investors. If comparison of order examined hence both investors behavior relatively changes over time. But, statistically shows there is not ratio significant. This implies behavior trading of informed investors and uninformed investors stable relative over time. The result from regression analysis indicates that informed investors to correlate at trading volume in all time intervals, but not all uninformed investors correlates in every time interval. This imply investor order inform is more can explain trading volume pattern compared to uninformed investor order in Indonesia Stock Exchange. Finally, result of regression also finds that order status match has greater role determines trading volume pattern intraday especially informed buy match and informed sale match. While amend, open and withdraw unable to have role to determine intraday trading volume pattern.

scholarly journals Systematic illiquidity, characteristic illiquidity, and stock returns: Timeseries analysis

2022 ◽  
Vol 9 (2) ◽  
pp. 72-80
Author(s):  
Soltane et al. ◽  
Keyword(s):  
Emerging Markets ◽  
Stock Returns ◽  
Stock Prices ◽  
Stock Price ◽  
Stock Exchange ◽  
Systematic Risk ◽  
Timeseries Analysis ◽  
The Relationship

The objective of this research is to investigate the relationship between illiquidity and stock prices on the Tunisian stock exchange. While previous researches tended to focus on one form of illiquidity to examine this relationship, our study unifies three forms of illiquidity at the same time. Indeed, we simultaneously consider illiquidity as systematic risk, as a characteristic of the market, and as a characteristic of the stock. The aggregate illiquidity of the market is the average of individual stock illiquidity. The illiquidity risk is the sensitivity of the stock price to illiquidity shocks. Shocks of market illiquidity are estimated by the innovations in the expected market illiquidity. Results show that investors on the Tunisian stock exchange do not require higher returns when they expect a rise of market illiquidity, whereas investors on U.S markets are compensated for higher expected market illiquidity. In addition, shocks of market illiquidity provoke a fall in stock prices of small caps, while large caps are not sensitive to market illiquidity shocks. This differs slightly from results based on U.S. data where illiquidity shocks reduce all stock prices but most notably those of small caps. Robustness tests validate our findings. Our results are consistent with previous studies which reported that the “zero-return” ratio predicts significantly the return-illiquidity relationship on emerging markets.

scholarly journals The dynamic relationship between stock returns and trading volumes in Nepalese stock market

2020 ◽  
Vol 23 (2) ◽  
pp. 161-172
Author(s):  
Prem Lal Adhikari
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
Trading Volume ◽  
Time Series Data ◽  
Stock Exchange ◽  
Causal Effect ◽  
Empirical Relationship ◽  
Insurance Companies ◽  
Series Data ◽  
Dynamic Relationship

 In finance, the relationship between stock returns and trading volume has been the subject of extensive research over the past years. The main motivation for these studies is the central role that trading volume plays in the pricing of financial assets when new information comes in. As being interrelated and interdependent subjects, a study regarding the trading volume and stock returns seem to be vital. It is a well-researched area in developed markets. However, very few pieces of literature are available regarding the Nepalese stock market that explores the association between trading volume and stock return. Realizing this fact, this paper aims to examine the empirical relationship between trading volume and stock returns in the Nepalese stock market using time series data. The study sample is comprised of 49 stocks traded on the Nepal Stock Exchange (NEPSE) from mid-July 2011 to mid-July 2018. This study examines the Granger Causality relationship between stock returns and trading volume using the bivariate VAR model used by de Medeiros and Van Doornik (2008). The study found that the overall Nepalese stock market does not have a causal relationship between trading volume and return on the stock. In the case of sector-wise study, there is a unidirectional causality running from trading volume to stock returns in commercial banks and stock returns to trading volume in finance companies, hydropower companies, and insurance companies. There is no indication of any causal effect in the development bank, hotel, and other sectors. This study also finds that there is no evidence of bidirectional causality relationships in any sector of the Nepalese stock market.

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