International Real Estate Review

This paper examines the relationship between return predictability and REIT characteristics. We build a multifactor model based on a set of firm-specific factors that include (1) Risk factors; (2) Liquidity factors; (3) Expensiveness; (4) Profitability; and (5) Return history. Our model demonstrates the capability of predicting the “winners” and the “losers,” with fairly high consistency. Given the large return differences uncovered by the model, and the fundamental characteristics of the “winners” versus the “losers,” it is unlikely that strong results are artifacts of a biased methodology.

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An Analysis of Central Drivers of REIT Returns

The Boller Review ◽

10.18776/tcu/br/5/127 ◽

2020 ◽

Vol 5 ◽

Author(s):

Jordan Joyce ◽

Class of 2020

Keyword(s):

Risk Factors ◽

Real Estate ◽

Meta Analysis ◽

Real Estate Investment Trusts ◽

Economic Downturn ◽

Real Estate Investment ◽

Investment Trusts ◽

Potential Risk Factors ◽

Relationship Of ◽

The Relationship

Many researchers have questioned whether real estate investment trusts (REITs) can act as a hedge for inflation or whether REITs can act as a safe haven for investors in the event of economic downturn. However, many studies lack basic data analysis or timely data to determine the dependence of REIT returns on various economic factors. The goal of this study is to act as a meta-analysis to synthesize the relationship between REITs and several potential risk factors. This study will extend beyond the timeline of previous studies, and will examine the relationship of several hypothesized risk factors. The results of this study can help brokers in their future decisions to hedge REIT risk in a portfolio. This study will use the historical returns from the National Association of Real Estate Investment Trusts (NAREIT) as well as six indices. This study will also use both univariate regressions and multivariate regressions to analyze the relationship between REITs and mortgage REITs and each representative index

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Hemmkörperentwicklung bei Hämophilie-Patienten nach Präparate wechsel

Hämostaseologie ◽

10.1055/s-0037-1619773 ◽

2012 ◽

Vol 32 (S 01) ◽

pp. S39-S42 ◽

Cited By ~ 1

Author(s):

S. Kocher ◽

G. Asmelash ◽

V. Makki ◽

S. Müller ◽

S. Krekeler ◽

...

Keyword(s):

Risk Factors ◽

Risk Factor ◽

Observational Study ◽

Retrospective Observational Study ◽

Frequent Change ◽

Patient Age ◽

Treatment Regimens ◽

Patient Âgé ◽

The Relationship ◽

Observation Period

SummaryThe retrospective observational study surveys the relationship between development of inhibitors in the treatment of haemophilia patients and risk factors such as changing FVIII products. A total of 119 patients were included in this study, 198 changes of FVIII products were evaluated. Results: During the observation period of 12 months none of the patients developed an inhibitor, which was temporally associated with a change of FVIII products. A frequent change of FVIII products didn’t lead to an increase in inhibitor risk. The change between plasmatic and recombinant preparations could not be confirmed as a risk factor. Furthermore, no correlation between treatment regimens, severity, patient age and comorbidities of the patients could be found.

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Haematocrit: Relationships with Blood Lipids, Blood Pressure and other Cardiovascular Risk Factors

Thrombosis and Haemostasis ◽

10.1055/s-0038-1648811 ◽

1994 ◽

Vol 72 (01) ◽

pp. 058-064 ◽

Cited By ~ 14

Author(s):

Goya Wannamethee ◽

A Gerald Shaper

Keyword(s):

Physical Activity ◽

Risk Factors ◽

Blood Pressure ◽

Body Mass Index ◽

Cardiovascular Risk ◽

Cardiovascular Risk Factors ◽

Alcohol Intake ◽

Blood Lipids ◽

The Other ◽

The Relationship

SummaryThe relationship between haematocrit and cardiovascular risk factors, particularly blood pressure and blood lipids, has been examined in detail in a large prospective study of 7735 middle-aged men drawn from general practices in 24 British towns. The analyses are restricted to the 5494 men free of any evidence of ischaemic heart disease at screening.Smoking, body mass index, physical activity, alcohol intake and lung function (FEV1) were factors strongly associated with haematocrit levels independent of each other. Age showed a significant but small independent association with haematocrit. Non-manual workers had slightly higher haematocrit levels than manual workers; this difference increased considerably and became significant after adjustment for the other risk factors. Diabetics showed significantly lower levels of haematocrit than non-diabetics. In the univariate analysis, haematocrit was significantly associated with total serum protein (r = 0*18), cholesterol (r = 0.16), triglyceride (r = 0.15), diastolic blood pressure (r = 0.17) and heart rate (r = 0.14); all at p <0.0001. A weaker but significant association was seen with systolic blood pressure (r = 0.09, p <0.001). These relationships remained significant even after adjustment for age, smoking, body mass index, physical activity, alcohol intake, lung function, presence of diabetes, social class and for each of the other biological variables; the relationship with systolic blood pressure was considerably weakened. No association was seen with blood glucose and HDL-cholesterol. This study has shown significant associations between several lifestyle characteristics and the haematocrit and supports the findings of a significant relationship between the haematocrit and blood lipids and blood pressure. It emphasises the role of the haematocrit in assessing the risk of ischaemic heart disease and stroke in individuals, and the need to take haematocrit levels into account in determining the importance of other cardiovascular risk factors.

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