English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  Items with full text/Total items : 113648/144635 (79%)
Visitors : 51662092      Online Users : 518
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/147234


    Title: 黃金、房地產、比特幣與其他總體經濟因素間關係之研究
    The Relation of Gold, Real Estate, Bitcoin, and other Macroeconomic Variables
    Authors: 勞思恩
    Lao, Grace Szu-En
    Contributors: 林左裕
    Lin, Tsoyu Calvin
    勞思恩
    Grace Szu-En Lao
    Keywords: 共整合
    投資組合管理
    黃金
    房地產市場
    比特幣
    總 體經濟因素
    Cointegration
    Portfolio Management
    Gold
    Real Estate Market
    Bitcoin
    Macroeconomic Indices
    Date: 2023
    Issue Date: 2023-09-01 16:12:42 (UTC+8)
    Abstract: 許多研究致力於探討股票、房地產、黃金和總體經濟因素之間的關
    係。本研究利用經典的共整合測試和模型,包括 Johansen 共整合測
    試、Granger 因果關係測試、向量誤差修正模型以及預測誤差脈衝響
    應函數,試圖填補文獻中的空白,引入比特幣作為研究對象。本研
    究對黃金、房地產、比特幣、股票和總體經濟因素的月度數據進行
    了多個共整合測試的分析。結果顯示,比特幣在長期中對黃金和房
    價指數具有單向領先效應,並且房價指數對黃金也具有單向領先效
    應。預測誤差脈衝響應顯示,黃金和房價指數的震盪對比特幣具有
    積極影響。
    Many studies have been dedicated to examining the relationships between stocks, real estate, gold and macroeconomic variables. By utilizing classic cointegration tests and models, including the Johansen Cointegration test,
    Granger-Causality test, Vector Error Correction Models, and Forecast Error Impulse Response Function for analysis, this study attempts to fill in the gap in literature by introducing Bitcoin to the mix. Monthly data on gold, real estate, Bitcoin, stock, and macroeconomic variables undergo
    analysis in multiple cointegration tests. Results suggest that Bitcoin has a unidirectional leading effect from both gold and house prices in the longrun and a unidirectional leading effect from house prices to gold. The forecast error impulse response shows that shocks from both gold and house prices are found to have positive impacts on BTC.
    Reference: References
    Aiello D., Balyuk T., Maggio M. D., Johnson M. J., Baker S. R., Kotter J. D. (2023)
    The Effects of Cryptocurrency Wealth on Household Consumption and Investment.
    Available at http://dx.doi.org/10.2139/ssrn.4455756
    Apergis N., Lamprinidis L. (2011) More Evidence on the Relationship between the
    Stock and the Real Estate Market. University of Piraes
    Aye G. C., Chang T., Gupta R. (2016) Is gold an inflation-hedge? Evidence from an
    interrupted Markov-switching cointegration model. Resources Policy, Volume 48,
    Pages 77-84, ISSN 0301-4207
    Bhuiyan E. M., Chowdhury M. (2020) Macroeconomic variables and stock market
    indices: Asymmetric dynamics in the US and Canada, The Quarterly Review of
    Economics and Finance, Volume 77, Pages 62-74, ISSN 1062-9769
    Blau B. M., Griffith T. G., Whitby R. J. (2021) Inflation and Bitcoin: A descriptive
    time-series analysis, Economics Letters, Volume 203, 109848, ISSN 0165-1765
    Bouri E., Azzi G., Dyhrberg A. H. (2017) "On the return-volatility relationship in the
    Bitcoin market around the price crash of 2013" Economics, vol. 11, no. 1, pp.
    2. https://doi.org/10.5018/economics-ejournal.ja.2017-2
    Bouri, E., Molnár, P., Azzi, G., Roubaud, D. and Hagfors, L. I. (2017) “On the hedge
    and safe haven properties of bitcoin: Is it really more than a diversifier?”, Finance
    Research Letters, Vol. 20, pp. 192-198. ISSN 1544-6123
    Carroll C. D., Otsuka M., Slacalek J. (2010) How Large Are Housing and Financial
    Wealth Effects? A New Approach. Journal of Money, Credit and Banking. 43. 55-79.
    10.2307/20870039
    Case K. E., Quigley J. M., Shiller R. J. (2006) "Comparing Wealth Effects: The Stock
    Market versus the Housing Market," Advances in Macroeconomics, Berkeley
    Electronic Press, vol. 5(1), pages 1235-1235
    Case K. E., Quigley J. M., Shiller R. J. (2011) Wealth Effects Revisited 1978-2009.
    Cowles Foundation Discussion Paper No. 1784,
    http://dx.doi.org/10.2139/ssrn.1766604
    37
    Chodorow-Reich G., Nenov P. T., Simsek, A. (2021) "Stock Market Wealth and the
    Real Economy: A Local Labor Market Approach," American Economic Review,
    American Economic Association, vol. 111(5), pages 1613-1657
    Choi S., Shin J. (2022) Bitcoin: An inflation hedge but not a safe haven. Finance
    Research Letters, Volume 46, Part B, 102379, ISSN 1544-6123
    Corbet, S., Larkin, C., Lucey, B., Meegan, A. and Yarovaya, L. (2018) “Exploring the
    dynamic relationships between cryptocurrencies and other financial
    assets”, Economics Letters, Vol. 165 No. 1, pp. 28-34
    David A. Dickey, Wayne A. Fuller (1979) Journal of the American Statistical Association,
    Vol. 74, No. 366, pp. 427-431
    Demary M., Voigtländer M. (2009) The Inflation Hedging Properties of Real Estate: A
    Comparison between Direct Investments and Equity Returns. Research Center for
    Real Estate Economics
    Engle R. F., Granger C. W. J. (1987) Co-Integration and Error Correction:
    Representation, Estimation, and Testing. Econometrica, Vol. 55, No. 2 (Mar., 1987),
    pp. 251-276
    Gan C., Lee M., Yong H., Zhang J. (2006). Macroeconomic Variables and Stock
    Market Interactions: New Zealand Evidence. Investment Management and Financial
    Innovations, Volume 3, Pages 89-101
    Ghosh D., Levin E. J., Macmillan P., Wright R. E. (2004) Gold as an Inflation Hedge?
    Studies in Economics and Finance, ISSN: 1086-7376
    Granger, C.W.J. (1969). Investigating causal relations by econometrics models and
    cross spectral methods. Econometrica 37, 424–43
    Humpe A., Macmillan P. (2009) Can macroeconomic variables explain long-term
    stock market movements? A comparison of the US and Japan, Applied Financial
    Economics, 19:2, 111-119, DOI: 10.1080/09603100701748956
    Ivanov V. and Kilian L. (2001) A practitioner’s guide to lag-order selection for vector
    autoregressions. CEPR Discussion Papers, 2685
    38
    Johansen S. (1995) Likelihood−based inference in cointegrated vector autoregressive
    models. Oxford University Press, Oxford (United Kingdom)
    Kaponda, K. Bitcoin the ’Digital Gold’ and Its Regulatory Challenges.
    https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3123531 (Accessed June 14th
    ,
    2023)
    Kogan S., Makarov I., Niessner M., Schoar A. (2023) Are Cryptos Different?
    Evidence from Retail Trading. MIT Sloan Research Paper No. 6831-22,
    http://dx.doi.org/10.2139/ssrn.4289513
    Kristoufek L. (2015) What Are the Main Drivers of the Bitcoin Price? Evidence from
    Wavelet Coherence Analysis. PLoS ONE 10(4): e0123923.
    https://doi.org/10.1371/journal.pone.0123923
    Lin T. C, Lin Z. H. (2011) Are stock and real estate markets integrated? An empirical
    study of six Asian economies. Pacific-Basin Finance Journal, Volume 19, Issue 5,
    Pages 571-585, ISSN 0927-538X
    Lütkepohl, H. (2007) New introduction to multiple time series analysis (2nd ed.).
    Berlin: Springer
    Mohr F. X. (2020) An Introduction to Impulse Response Analysis of VAR Models. REconomics. Accessed June 19, 2023 at https://www.reconometrics.com/timeseries/irf/
    Muckenhaupt J., Hoesli M., Zhu B. (2023) Listed Real Estate as an Inflation Hedge
    across Regimes. Swiss Finance Institute Research Paper No. 23-13.
    http://dx.doi.org/10.2139/ssrn.4362134
    Nakamoto S. (2008) “Bitcoin: a peer-to-peer electronic cash system”, found
    at: https://bitcoin.org/bitcoin.pdf
    Nasseh A., Strauss J. (2000) Stock prices and domestic and international
    macroeconomic activity: a cointegration approach, The Quarterly Review of
    Economics and Finance, Volume 40, Issue 2, Pages 229-245, ISSN 1062-9769
    Phochanachan P., Pirabun N., Leurcharusmee S., Yamaka W. (2022) Do Bitcoin and
    Traditional Financial Assets Act as an Inflation Hedge during Stable and Turbulent
    Markets? Evidence from High Cryptocurrency Adoption Countries. Axioms.
    39
    11(7):339. https://doi.org/10.3390/axioms11070339
    Ratanapakorn O., Sharma S. C. (2007) Dynamic analysis between the US stock
    returns and the macroeconomic variables, Applied Financial Economics, 17:5, 369-
    377, DOI: 10.1080/09603100600638944
    Sahu T. (2016) Macroeconomic Variables and Security Prices in India during the
    Liberalized Period. 10.1057/9781137492012
    Shahzad S. J. H., Bouri E., Roubaud D., Kristoufek L., Lucey B. (2019) Is Bitcoin a
    better safe-haven investment than gold and commodities? International Review of
    Financial Analysis, Volume 63, Pages 322-330, ISSN 1057-5219
    Simpson, M.W., Ramchander, S., Webb, J.R. (2007) The Asymmetric Response of
    Equity REIT Returns to Inflation. J Real Estate Finan Econ 34, 513–529.
    https://doi.org/10.1007/s11146-007-9023-0
    Tarbert H. (1996) Is commercial property a hedge against inflation? A cointegration
    approach. Journal of Property Finance, Vol. 7 No. 1, Pages 77-98.
    https://doi.org/10.1108/09588689610111638
    Thaker H. M. T., Mand A. A. (2021) Bitcoin and stock markets: a revisit of
    relationship. Journal of Derivatives and Quantitative Studies: 선물연구 Vol. 29 No. 3,
    2021 pp. 234-256. ISSN: 1229-988X
    TripleA. Global Crypto Ownership Data. Accessed on July 23rd, 2023 at https://triplea.io/crypto-ownership-data/
    Tulcanaza-Prieto A. B. (2018) Bitcoin: Its influence on the global World and its
    relationship with the stock exchange. Chakiñan Revista de Ciencias Sociales y
    Humanidades (pp.54-72). Universidad Nacional de Chimborazo
    Virenrehal (2022) Vector Error Correction (VECM) and VAR: Theory.
    Spureconomics. Accessed June 16, 2023 at https://spureconomics.com/vector-errorcorrection-vecm-theory/
    Wang M. L., Wang C. P., Huang T. Y. (2010) Relationships among Oil Price, Gold
    Price, exchange rate and International Stock Markets. International Research Journal
    of Finance and Economics, Pages 80-89
    40
    Wang P, Liu X, Wu S. (2022) Dynamic Linkage between Bitcoin and Traditional
    Financial Assets: A Comparative Analysis of Different Time Frequencies. Entropy;
    24(11):1565.
    Yunus N. (2020) Time-varying linkages among gold, stocks, bonds and real estate.
    The Quarterly Review of Economics and Finance, Volume 77, Pages 165-185, ISSN
    1062-9769
    Description: 碩士
    國立政治大學
    應用經濟與社會發展英語碩士學位學程(IMES)
    110266002
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0110266002
    Data Type: thesis
    Appears in Collections:[應用經濟與社會發展英語碩士學位學程 (IMES)] 學位論文

    Files in This Item:

    File SizeFormat
    index.html0KbHTML2223View/Open


    All items in 政大典藏 are protected by copyright, with all rights reserved.


    社群 sharing

    著作權政策宣告 Copyright Announcement
    1.本網站之數位內容為國立政治大學所收錄之機構典藏,無償提供學術研究與公眾教育等公益性使用,惟仍請適度,合理使用本網站之內容,以尊重著作權人之權益。商業上之利用,則請先取得著作權人之授權。
    The digital content of this website is part of National Chengchi University Institutional Repository. It provides free access to academic research and public education for non-commercial use. Please utilize it in a proper and reasonable manner and respect the rights of copyright owners. For commercial use, please obtain authorization from the copyright owner in advance.

    2.本網站之製作,已盡力防止侵害著作權人之權益,如仍發現本網站之數位內容有侵害著作權人權益情事者,請權利人通知本網站維護人員(nccur@nccu.edu.tw),維護人員將立即採取移除該數位著作等補救措施。
    NCCU Institutional Repository is made to protect the interests of copyright owners. If you believe that any material on the website infringes copyright, please contact our staff(nccur@nccu.edu.tw). We will remove the work from the repository and investigate your claim.
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback