2015
DOI: 10.1007/s11146-015-9534-z
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Forward Curve Risk Factors Analysis in the UK Real Estate Market

Abstract: International audienceThis paper empirically investigates the risk factors of the property swap prices using 4 years of price data relative to the UK Investment Property Databank (IPD) Total Return All Property Swap. The implied forward rates are analyzed with a first difference model to determine its main components. Regarding the risk free rate, the traditional sport-forward relation does not hold for property derivatives. The impact of the risk free rate on forward rates appears as being complex and made of… Show more

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Cited by 5 publications
(2 citation statements)
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“…Scholars have conducted extensive research on real estate risks, focusing on issues such as lending and fluctuations in housing prices, and their connections with monetary policies, financial institutions and stock markets. Studies by Kallberg et al (2014) and Pavlov et al (2015) highlight the negative impact of misguided financial decisions, while Drouhin et al (2016) emphasise the consequences of extreme housing price variations. Zhou et al (2021) delve into the relationship between monetary policies and real estate risks by synthesising the risk indices through advanced big data analysis techniques, while Baulkaran et al (2019) link them to stock market trends.…”
Section: Measuring Structural and Cyclical Risk On Housing Marketsmentioning
confidence: 99%
“…Scholars have conducted extensive research on real estate risks, focusing on issues such as lending and fluctuations in housing prices, and their connections with monetary policies, financial institutions and stock markets. Studies by Kallberg et al (2014) and Pavlov et al (2015) highlight the negative impact of misguided financial decisions, while Drouhin et al (2016) emphasise the consequences of extreme housing price variations. Zhou et al (2021) delve into the relationship between monetary policies and real estate risks by synthesising the risk indices through advanced big data analysis techniques, while Baulkaran et al (2019) link them to stock market trends.…”
Section: Measuring Structural and Cyclical Risk On Housing Marketsmentioning
confidence: 99%
“…But buying a portfolio of houses that replicates a well-designed real estate index would be a costly and illiquid investment, so this no-arbitrage condition and its implications no longer hold. A standard no-arbitrage condition suggests that the relationship between the spot price of the derivative and the expected future price will be driven largely by the risk-free rate of return, but as Drouhin, Simon, and Essafi (2016) show in a study of IPD total return swaps contracts, this relationship does not hold in the context of property prices. Furthermore, without a no-arbitrage condition, the standard Black-Scholes option-pricing formula cannot be derived using the classical replication approach.…”
Section: Modelling Considerationsmentioning
confidence: 99%