Buy‐now‐pay‐later (BNPL) in Australia is a rapidly growing payment innovation. Regulators and consumer groups have expressed concerns at the financial risks posed by BNPL. As BNPL is not regulated under consumer credit law, financial regulator and consumer groups have recommended that BNPL users adopt a range of responsible financial behaviours for their financial wellbeing. This study, using a survey of BNPL users and structural equation modelling, shows a link between most of these recommended financially responsible behaviours and financial wellbeing and that the financial behaviours of younger users (aged under 25) place them at greater risk of reduced financial wellbeing.
The authors study the linkages between direct and indirect Australian property sectors from 1985 to 2013, with shares and bonds. This paper employs an Autoregressive Fractionally Integrated Moving Average (ARFIMA) process to de-smooth a valuationbased direct property index. The authors establish directional lead-lag relationships between markets using bi-variate Granger causality tests. Johansen cointegration tests are carried out to examine how direct and indirect property markets adjust to an equilibrium long-term relationship and short-term deviations from such a relationship with other asset classes. Findings – The authors find the use of appraisal-based property data creates a smoothing bias which masks the extent of how information is transmitted between the indirect property sector, stock and bond markets, and influences returns. The authors demonstrate that an ARFIMA process accounting for a smoothing bias up to lags of four quarters can overcome the overstatement of the smoothing bias from traditional AR models, after individually appraised constituent properties are aggregated into an overall index. The results show that direct property adjusts to information transmitted from markettraded A-REITs and stocks. Practical implications – The study shows direct property investments and A-REITs are substitutible in a multi-asset portfolio in the long and short term. Originality/value – The authors apply an ARFIMA(p, d, q) model to de-smooth Australian property returns, as proposed by Bond and Hwang (2007). The authors expect the findings will contribute to the discussion on whether direct property and REITs are substitutes in a multi-asset portfolio
Management structures of many Australian REITs have shifted towards internal property management since 2001. Sector returns have been rewarding until the Global Financial Crisis, but rising costs of debt and years of aggressive borrowing have eroded REIT values. Externally managed trusts had relatively higher levels of debt than internally managed counterparts thus increasing the sensitivities to interest rate risks. Yet internally managed REITs engage in a wider set of operating activities which compound market and financial risks. This study uses panel and panel quantile regressions to examine the joint impact of financial leverage and management structure on REIT returns in terms of their sensitivities towards the stock market and changes to interest rates from 1980 to 2013, and how these vary at different parts of an economic cycle. We find that the impact of market returns is greater for internally managed REITs and those with more debt. REITs are only negatively affected by changes to short-term interest rates at the lowest 5% quantile of returns. Changes to long-term interest rates have an adverse effect on REITs only at the upper 75% and 95% quantiles. We consider the possibilities that rental yields and inflationary expectations may offset the influences of financing costs. Internal management appears to compound the effects of the stock market and interest rates on REIT returns. These have implications for investors looking to select REITs as substitutes of direct property investments.
Systemic risk contagion is a key issue in the banking sector in maintaining financial system stability. This study is among the first few to use three different distance-to-risk measures to empirically assess the domestic interbank linkages and systemic contagion risk of the Chinese banking industry, by using bivariate dynamic conditional correlation GARCH model on data collected from eight prominent Chinese banks for the period 2006–2018. The results show a relatively high correlation among almost all the banks, suggesting an interconnectedness among the banks. We found evidence that the banking system is exposed to significant domestic contagion risks arising from systemic defaults. Given that Chinese markets deliver weak signals of forthcoming stress in banking sectors, new policy intervention is crucial to resolve the hidden stress in the system. The results have important policy implications and will provide scholars and policymakers further insight into the risk contagion originating from interbank networks.
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