2016
DOI: 10.5539/ijef.v8n11p118
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Dividend Smoothing and Signaling Under the Impact of the Global Financial Crisis: A Comparison of US and Southeast Asian Markets

Abstract: <p>Under the impact of the global financial crisis, firms experience more external financial constraints and this is a good opportunity to investigate dividend smoothing and signaling behavior. Using data from the US market where the crisis originates and five Southeast Asian markets which are slightly affected by the crisis, we find that US firms pursue dividend smoothing model and they also follow signaling theory by increasing dividends in the post-crisis period to earn good reputation. However, Malay… Show more

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Cited by 12 publications
(19 citation statements)
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“…Chemmanur, He, and Hu (2009) find that long-term passive-trading investors (as opposed to non-commercial short-term investors, traders, overnight and intraday speculators) are likely to experience bigger share positions in SEOs and IPOs hoping on better returns and their transactions somewhat greatly exceed a passive "buy-and-hold" trading strategy with no (trading) psychological timing (Nguyen & Tran, 2016;Basdekidou, 2016a;Hovakimian & Hu, 2016). In this article the (trading) psychological timing functionality is apparent and obvious but the daytime and overnight alternatives are not discussed (Livermore 1940(Livermore /2001.…”
Section: Motivation and Previous Literaturementioning
confidence: 99%
See 1 more Smart Citation
“…Chemmanur, He, and Hu (2009) find that long-term passive-trading investors (as opposed to non-commercial short-term investors, traders, overnight and intraday speculators) are likely to experience bigger share positions in SEOs and IPOs hoping on better returns and their transactions somewhat greatly exceed a passive "buy-and-hold" trading strategy with no (trading) psychological timing (Nguyen & Tran, 2016;Basdekidou, 2016a;Hovakimian & Hu, 2016). In this article the (trading) psychological timing functionality is apparent and obvious but the daytime and overnight alternatives are not discussed (Livermore 1940(Livermore /2001.…”
Section: Motivation and Previous Literaturementioning
confidence: 99%
“…9, No. 3; For the current paper, the profit/losses trading data (2010)(2011)(2012)(2013)(2014)(2015)(2016) (Nguyen & Tran, 2016;Basdekidou, 2016a;Baker & Wurgler, 2002;Barclay & Hendershott, 2003;Livermore 1940Livermore /2001). …”
Section: Trading Data: Daytime and Overnight Returnsmentioning
confidence: 99%
“…In the current article, for back-testing purposes of both returns, we use the trade data of the SPDR S&P 500 ETF (SPY), from January 1, 2000 to June 30, 2016. For this comparative TTF we define the daytime return as the difference in pricing between the day's open and the day's close; and the overnight return as the difference between the day's close and the following morning's open (Nguyen & Tran, 2016). …”
Section: The Daytime and Overnight Returns As Time-series Parametersmentioning
confidence: 99%
“…Hence, selecting the (leveraged) ETF in the appropriate CSR category is a great and difficult concept, but a profitable job as well (Nguyen & Tran, 2016;Ogden & Wu, 2013;Orlitzky, 2013;Basdekidou & Styliadou, 2017). …”
Section: Problem Introductionmentioning
confidence: 99%