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Pei Pei Tan

Personal Details

First Name:Pei Pei
Middle Name:
Last Name:Tan
Suffix:
RePEc Short-ID:pta632
[This author has chosen not to make the email address public]
Terminal Degree:2011 Department of Econometrics and Business Statistics; Monash Business School; Monash University (from RePEc Genealogy)

Affiliation

Faculty of Business and Economics
Universiti Malaya

Kuala Lumpur, Malaysia
https://fpe.um.edu.my/
RePEc:edi:feaummy (more details at EDIRC)

Research output

as
Jump to: Articles

Articles

  1. Tuck Cheong Tang & Pei Pei Tan, 2015. "Real Interest Rate and House Prices in Malaysia: An Empirical Stud," Economics Bulletin, AccessEcon, vol. 35(1), pages 270-275.
  2. Pei Pei Tan & Don U.A. Galagedera, 2015. "Dynamics of Idiosyncratic Volatility and Market Volatility: An Emerging Market Perspective," Global Economic Review, Taylor & Francis Journals, vol. 44(1), pages 74-100, March.
  3. Tan, Pei P. & Galagedera, Don U.A. & Maharaj, Elizabeth A., 2012. "A wavelet based investigation of long memory in stock returns," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(7), pages 2330-2341.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Articles

  1. Tuck Cheong Tang & Pei Pei Tan, 2015. "Real Interest Rate and House Prices in Malaysia: An Empirical Stud," Economics Bulletin, AccessEcon, vol. 35(1), pages 270-275.

    Cited by:

    1. Huseyin Karamelikli, 2016. "Linear and nonlinear dynamics of housing price in Turkey," Ekonomia journal, Faculty of Economic Sciences, University of Warsaw, vol. 46.
    2. Hamid Norfiqiri & Razali Muhammad Najib & Azmi Fatin Afiqah & Daud Siti Zaleha & Yunus Nurhidayah Md., 2022. "Prospecting Housing Bubbles in Malaysia," Real Estate Management and Valuation, Sciendo, vol. 30(4), pages 74-88, December.
    3. Awaworyi Churchill, Sefa & Baako, Kingsley Tetteh & Mintah, Kwabena & Zhang, Quanda, 2021. "Transport infrastructure and house prices in the long run," Transport Policy, Elsevier, vol. 112(C), pages 1-12.

  2. Tan, Pei P. & Galagedera, Don U.A. & Maharaj, Elizabeth A., 2012. "A wavelet based investigation of long memory in stock returns," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(7), pages 2330-2341.

    Cited by:

    1. Nazarian, Rafik & Naderi, Esmaeil & Gandali Alikhani, Nadiya & Amiri, Ashkan, 2013. "Long Memory Analysis: An Empirical Investigation," MPRA Paper 45605, University Library of Munich, Germany.
    2. Lahmiri, Salim, 2015. "Long memory in international financial markets trends and short movements during 2008 financial crisis based on variational mode decomposition and detrended fluctuation analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 437(C), pages 130-138.
    3. Bhandari, Avishek, 2020. "Long Memory and Correlation Structures of Select Stock Returns Using Novel Wavelet and Fractal Connectivity Networks," MPRA Paper 101946, University Library of Munich, Germany.
    4. Huang, Shupei & An, Haizhong & Gao, Xiangyun & Huang, Xuan, 2015. "Identifying the multiscale impacts of crude oil price shocks on the stock market in China at the sector level," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 434(C), pages 13-24.
    5. Abdul Aziz Karia & Imbarine Bujang & Ismail Ahmad, 2013. "Fractionally integrated ARMA for crude palm oil prices prediction: case of potentially overdifference," Journal of Applied Statistics, Taylor & Francis Journals, vol. 40(12), pages 2735-2748, December.
    6. John Goddard & Enrico Onali, 2016. "Long memory and multifractality: A joint test," Papers 1601.00903, arXiv.org.
    7. Avishek Bhandari & Bandi Kamaiah, 2020. "Long memory in select stock returns using an alternative wavelet log-scale alignment approach," Papers 2004.08550, arXiv.org.
    8. Auer, Benjamin R., 2016. "On time-varying predictability of emerging stock market returns," Emerging Markets Review, Elsevier, vol. 27(C), pages 1-13.
    9. Chakrabarty, Anindya & De, Anupam & Gunasekaran, Angappa & Dubey, Rameshwar, 2015. "Investment horizon heterogeneity and wavelet: Overview and further research directions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 429(C), pages 45-61.
    10. Avishek Bhandari & Bandi Kamaiah, 2021. "Long Memory and Fractality Among Global Equity Markets: a Multivariate Wavelet Approach," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 19(1), pages 23-37, March.
    11. Bhandari, Avishek, 2020. "Long memory and fractality among global equity markets: A multivariate wavelet approach," MPRA Paper 99653, University Library of Munich, Germany.
    12. Dai, Zhifeng & Zhu, Huan & Kang, Jie, 2021. "New technical indicators and stock returns predictability," International Review of Economics & Finance, Elsevier, vol. 71(C), pages 127-142.
    13. Gajardo, Gabriel & Kristjanpoller, Werner D. & Minutolo, Marcel, 2018. "Does Bitcoin exhibit the same asymmetric multifractal cross-correlations with crude oil, gold and DJIA as the Euro, Great British Pound and Yen?," Chaos, Solitons & Fractals, Elsevier, vol. 109(C), pages 195-205.

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