What is he best known for?
The fields of study he is best known for:
- Statistics
- Finance
- Econometrics
His primary areas of investigation include Econometrics, Real estate, Value, Real estate investment trust and Leverage.
Martin Hoesli combines subjects such as Index, Mass appraisal and Statistics with his study of Econometrics.
His work deals with themes such as Financial economics, Total return, Portfolio, Financial services and Common stock, which intersect with Real estate.
His Value research is multidisciplinary, incorporating perspectives in Arbitrage, Financial market, Momentum, Time varying risk and Present value.
In his study, Financial crisis is strongly linked to Stock market index, which falls under the umbrella field of Real estate investment trust.
His Leverage study integrates concerns from other disciplines, such as Capital structure and Monetary economics.
His most cited work include:
- The capital structure of Swiss companies: an empirical analysis using dynamic panel data (267 citations)
- Do housing submarkets really matter (262 citations)
- Do housing submarkets really matter (262 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Real estate, Econometrics, Real estate investment trust, Monetary economics and Financial economics.
As a member of one scientific family, Martin Hoesli mostly works in the field of Real estate, focusing on Stock market and, on occasion, Small open economy.
His research in Econometrics intersects with topics in Index and Value.
His study in Real estate investment trust is interdisciplinary in nature, drawing from both Corporate Real Estate, Capital asset pricing model, Market liquidity, Stock market index and Asset allocation.
His Monetary economics study also includes fields such as
- Leverage, which have a strong connection to Capital structure,
- Panel data that intertwine with fields like Personal income.
His work in Dummy variable addresses subjects such as Spatial dependence, which are connected to disciplines such as Ordinary least squares and Mass appraisal.
He most often published in these fields:
- Real estate (97.02%)
- Econometrics (76.81%)
- Real estate investment trust (43.40%)
What were the highlights of his more recent work (between 2015-2021)?
- Real estate (97.02%)
- Econometrics (76.81%)
- House price (22.98%)
In recent papers he was focusing on the following fields of study:
Martin Hoesli spends much of his time researching Real estate, Econometrics, House price, Panel data and Monetary economics.
His Real estate research focuses on Real estate investment trust in particular.
His Real estate investment trust research includes themes of Financial risk and Asset.
His biological study spans a wide range of topics, including Smoothing and Index.
In his study, Actuarial science and Microeconomics is inextricably linked to Capital asset pricing model, which falls within the broad field of House price.
Martin Hoesli interconnects Leverage and Stock market in the investigation of issues within Monetary economics.
Between 2015 and 2021, his most popular works were:
- Measuring House Price Bubbles (23 citations)
- Measuring House Price Bubbles (23 citations)
- Measuring House Price Bubbles (23 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Finance
- Econometrics
His primary scientific interests are in Real estate, Econometrics, Monetary economics, Real estate investment trust and Panel data.
The subject of his Real estate research is within the realm of Finance.
The study of Econometrics is intertwined with the study of Index in a number of ways.
In his study, which falls under the umbrella issue of Monetary economics, Leverage, Foreign direct investment and Financial risk is strongly linked to Stock market.
Within one scientific family, Martin Hoesli focuses on topics pertaining to Investment under Real estate investment trust, and may sometimes address concerns connected to Hedge, Asset return and Alternative asset.
His Panel data research focuses on subjects like Personal income, which are linked to Unit root, Spatial dependence, Endogeneity, Yield and Contrast.
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