ORCID Profile
0000-0001-7662-5566
Current Organisation
Massey University - Albany Campus
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Publisher: Elsevier BV
Date: 2020
DOI: 10.2139/SSRN.3595822
Publisher: Elsevier BV
Date: 07-2019
Publisher: Elsevier BV
Date: 2017
DOI: 10.2139/SSRN.2909548
Publisher: Elsevier BV
Date: 04-2023
Publisher: Elsevier BV
Date: 04-2022
Publisher: Elsevier BV
Date: 09-2022
Publisher: Elsevier BV
Date: 07-2014
Publisher: Elsevier BV
Date: 10-2020
Publisher: Elsevier BV
Date: 04-2023
Publisher: Elsevier BV
Date: 04-2022
Publisher: Elsevier BV
Date: 05-2022
Publisher: Elsevier BV
Date: 10-2014
Publisher: Elsevier BV
Date: 08-2022
Publisher: Elsevier BV
Date: 06-2016
Publisher: Elsevier BV
Date: 2020
DOI: 10.2139/SSRN.3687512
Publisher: Elsevier BV
Date: 08-2023
Publisher: Elsevier BV
Date: 02-2020
Publisher: SAGE Publications
Date: 07-08-2017
Abstract: We assess the stock market volatility spillover between three closely related countries, the United States, China and Australia. This study considers industry data and hence provides a clear idea of the channels through which volatility is transmitted across these countries. We find that there is significant bilateral causality between the countries at the market index level and across most of the industries for the full s le period from July 2007 to May 2016. There is one-way volatility spillover from the United States to China in the financial services, industrials, consumer discretionary and utilities industry. There is insignificant volatility spillover from the Australian to Chinese stock markets in financial services, telecommunications and energy industries. Once we remove the effect of the global financial crisis (GFC), we find significant bilateral relationship across all of the industries across the three countries. JEL Classification: G15
Publisher: Elsevier BV
Date: 2021
Publisher: Elsevier BV
Date: 2023
Publisher: Elsevier BV
Date: 11-2023
Publisher: Elsevier BV
Date: 10-2022
Publisher: Wiley
Date: 15-07-2020
Publisher: Elsevier BV
Date: 2021
DOI: 10.2139/SSRN.3735300
Publisher: Springer International Publishing
Date: 2022
Publisher: Wiley
Date: 02-08-2022
DOI: 10.1111/ABAC.12264
Abstract: We provide a comprehensive and more consistent approach to analyse and compare the risk‐return relationships of Australian superannuation investment options for the period January 1990 to December 2016. In estimating the risk profiles of the investment options, we allow for the movement of the asset classes over time by employing a varying coefficient panel estimation technique. We find that while risk increases across different investment options from moderate to aggressive options, using different percentages of identifying a balanced fund does not impact the long‐term risk measurement. We equally find that the risk‐return relationships of investment options are not sensitive to the modelling framework, except for the crisis analysis, in which the Fama‐French five‐factor model provides greater sensitivity.
Publisher: Wiley
Date: 29-01-2023
DOI: 10.1111/JBFA.12686
Abstract: The credit rating industry has traditionally followed the “issuer‐pays” principle. Issuer‐paid credit rating agencies (CRAs) have faced criticism regarding their untimely release of negative rating adjustments, which is attributed to a conflict of interests in their business model. An alternative model based on the “investor‐pays” principle is arguably less subject to the conflict of interest problem. We examine how investors respond to changes in credit ratings issued by these two types of CRAs. We find that investors react asymmetrically: They abnormally sell equity stakes around rating downgrades by investor‐paid CRAs, while abnormally buying around rating upgrades by issuer‐paid CRAs. Our study suggests that, through their trades, investors capitalize on value‐relevant information provided by both types of CRAs, and a dynamic trading strategy taking advantage of this information generates significant abnormal returns.
Publisher: Elsevier BV
Date: 2018
DOI: 10.2139/SSRN.3219625
Publisher: Elsevier BV
Date: 06-2022
Publisher: Elsevier BV
Date: 07-2020
Publisher: Elsevier BV
Date: 03-2023
Publisher: Elsevier BV
Date: 03-2013
Publisher: Springer Science and Business Media LLC
Date: 05-05-2023
DOI: 10.1007/S10479-022-04741-0
Abstract: We extend an observable Markov Regime Switching framework to assess the switching behaviour of asset classes of Australian superannuation funds across different fund sizes. We identify the most prominent asset class which contributes to the performance of the investment options and what factors trigger funds’ decisions on rebalancing their portfolio. We find that smaller funds tend to be more active in switching to aggressive options and the larger funds are more conservative. However, in periods of volatility, the large funds are the risk seekers and tend to switch their asset classes and hence their investment strategies. The asset classes whose values add to the performance of the investment options are equity markets and bond markets with the domestic equity market having better performance than international equity market. The switch for the larger funds is driven by volatility of the equity market.
Publisher: Elsevier BV
Date: 08-2021
Publisher: Elsevier BV
Date: 08-2017
Publisher: Springer Science and Business Media LLC
Date: 27-06-2019
Publisher: Elsevier BV
Date: 10-2018
Publisher: Elsevier BV
Date: 10-2015
Publisher: Informa UK Limited
Date: 02-01-2016
Publisher: Elsevier BV
Date: 04-2023
Publisher: Elsevier BV
Date: 03-2022
Publisher: Elsevier BV
Date: 04-2015
Publisher: Elsevier BV
Date: 03-2016
Publisher: Elsevier BV
Date: 08-2022
Publisher: Elsevier BV
Date: 05-2020
No related grants have been discovered for Hung Do.