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  • 1.
    Dahlström, Amanda
    et al.
    Linköping University, Department of Management and Engineering, Economics.
    Ege, Oskar
    Linköping University, Department of Management and Engineering, Economics.
    A Tale Of Two Shocks: The Dynamics of Internal and External Shock Vulnerability in Real Estate Markets2016Independent thesis Advanced level (degree of Master (Two Years)), 240 HE creditsStudent thesis
    Abstract [en]

    This paper examines the major potential drivers of five international real estate markets with a focus on pushing versus pulling effects. Using a quantile regression approach for the period 2000-2015 we examine the coefficients during three different market conditions: downward (bearish), normal (median) and upward (bullish). Using monthly data we look at five of the larger securitized property markets, namely, the US, UK, Australia, Singapore and Hong Kong. We find inconclusively that stock market volatility, as measured by the pushing factor VIXS&P500, best informs property market returns during bearish market environment. We also find that our pulling factors, money supply, treasury yields and unemployment presents theoretically grounded results in most cases with the expected signage. However, compared to the volatility index, pulling factors are not as uniformly suited for informing property market returns during bearish markets. We also find a range of insignificant results, which might be indicative of a suboptimal model specification and/or choice of estimation method.

  • 2.
    Dahlström, Amanda
    et al.
    Linköping University, Department of Management and Engineering.
    Ege, Oskar
    Linköping University, Department of Management and Engineering.
    CLIMATE POLICY UNDER GEOPOLITICAL UNCERTAINTY: A QUANTITATIVE APPROACH2017Independent thesis Advanced level (degree of Master (Two Years)), 80 credits / 120 HE creditsStudent thesis
    Abstract [en]

    The drivers of CO2 emissions are a widely studied subject of great importance to both individual countries and the global community. However, the inclusion of a quantitative measure of political uncertainty, national and global, has until now been largely overlooked. We investigate how geopolitical uncertainty (GPU) and income interact with CO2 emissions using a panel quantile regression approach for a set of 63 nations over the period 1985-2014. Our key findings are; (i) a consistent negative (positive) relation between global (local) uncertainty and the different CO2 emission distribution levels, (ii) the relation between uncertainty and emissions is heterogeneous across different income groups, (iii) clear and consistent evidence for the Environmental Kuztnet Curve hypothesis with respect to uncertainty, (iiii) when deciding on environmental policy, it is of great importance to consider political uncertainty and whether to use a local or global measure.

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CiteExportLink to result list
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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
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Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
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