The starting point for this thesis and the associated question were price developments observable on the residential property market as well as increased media reporting. Against this background, the following question was examined with scientific methods within the framework of this thesis: Is a bubble formation recognisable in the German residential real estate market and what regional differences can be identified in answering this question?
As a first step, price-influencing factors were examined in more detail and the price development relative to annual rent ratio, income and construction costs was examined. In addition, the effect of the ECB's interest rate policy and the interplay between property prices, monetary policy and asset price inflation were analysed. Hereby it became apparent that the significant price increase for residential property since 2010, and especially accelerated since 2016, can be explained against the backdrop of the extremely low interest rate level and the considerable expansion of money supply.
In order to be able to identify price bubbles on the residential property market in a measurable and comprehensible way, the price development was analysed in a second step with the mathematical procedure according to Diba and Grossmann, which uses the Augmented Dickey Fuller Test. The procedure is based on the premise that the price of a good is related to its fundamental value. To examine the price development in the residential property market, the fundamental value used for comparison purposes is derived from the development of the rent price index, the index of average gross monthly earnings and the construction cost index. The house price index was used as a price indicator for residential property. With the help of the Augmented-Dickey-Fuller Test, the development of the various indices was examined and compared with regard to their degree of stationarity. This investigation was carried out for the overall German residential real estate market in the observation period 2010-2021 in order to obtain an up-to-date picture. For the period under consideration from 01.01.2010 to 31.12.2021, a price bubble was not confirmed on the overall German residential property market.
Table of Contents
1. Introduction
1.1 Problem statement
1.2 Objectives and structure of the work
2. Definition and theoretical basis of asset price bubbles
2.1 Asset price bubbles as recurring phenomena of the financial markets
2.1.1 Historical financial crises
2.1.2 Structure of financial crises
2.1.3 Price bubbles as triggers of financial crises
2.2 Characteristics of price bubbles
2.2.1 Definition of price bubbles
2.2.2 Critical delimitation of the definition of the term
2.2.3 Short-term effects on national economies
2.2.4 Long-term effects on national economies
3. Price bubbles on real estate markets
3.1 Real estate markets in the context of economics
3.1.1 Uniqueness of the residential property market
3.1.2 Segmentation into product submarkets
3.1.3 Segmentation into spatial submarkets
3.2 Characteristics of price bubbles in real estate markets
3.2.1 Long duration
3.2.2 Special behaviour of market participants
3.2.3 Locality
3.3 Explanatory approaches for a bubble in the residential property market
3.3.1 Interest rate policy
3.3.2 Interaction of property price - monetary policy - asset price inflation
3.3.3 Economic effects of interest rate changes on mortgage loans
3.4 Current market indicators of a possible price bubble on the German residential property market
4. Empirical approaches to the detection of price bubbles
4.1 Price to Rent Ratio
4.2 Price to Income Ratio
4.3 Price to Production Cost Ratio
4.4 Summary of the findings
5. Empirical analysis of the German residential real estate market using the Diba and Grossmann method
5.1 Empirical approach
5.2 Methodical preparation
5.3 Data basis and preparation of the data
5.4 Evaluation of the database for the overall German market
5.4.1 House price index
5.4.2 Index of net cold rents
5.4.3 Index of average gross monthly earnings
5.4.4 Construction cost index
5.5 Evaluation of the database subdivided according to district types
5.5.1 House price index by district type
5.5.2 Index of net cold rents by district type
5.6 Summary of the results
6. Conclusion
6.1 Achievement of work
6.2 Outlook
Research Objectives and Focus Areas
This master's thesis investigates the potential formation of a price bubble in the German residential real estate market. Given the significant price increases observed since 2010—and accelerating from 2016 onwards—the study addresses the research question of whether these developments represent a speculative bubble or are fundamentally justified. By utilizing empirical methods, including the mathematical procedure of Diba and Grossmann, the research aims to fill a gap in existing literature regarding regional disparities and financial stability in the German context.
- Analysis of factors influencing German residential property prices, including monetary policy and money supply.
- Evaluation of market indicators (Price-to-Rent, Price-to-Income, and Price-to-Production-Cost ratios).
- Application of the Augmented-Dickey-Fuller (ADF) Test to assess the stationarity of various market indices.
- Regional differentiation by subdividing the German market into four specific district types.
- Scientific assessment of the "bubble" narrative regarding the overall German market versus specific regional submarkets.
Excerpt from the Book
3.2.1 Long duration
The first characteristic of price bubbles in the residential property market is the comparatively long duration of a bubble. According to a study by Helbling and Terrones from 2008, a crash on the stock market lasts an average of two and a half years, whereas on the residential property market it lasts four years (Terrones, 2008). The average 60% longer duration of a crash on the real estate market can be explained in particular by the market structure of the real estate market. One of the decisive aspects for this is the low market efficiency (see section 3.1) (Kurzrock, 2015). It takes a relatively long time for price-relevant new information and environmental factors to become apparent in market prices. In addition, the real estate market reacts slowly to such information due to the comparatively low transaction frequency (Sornette and Woodard, 2010).
When determining a possible price bubble formation in this context, it must be taken into account that a correspondingly meaningful time window of at least five years must be chosen for the observation. The adequate choice of the time window determines to a large extent the informative value of the analysis to be carried out (Balzer and Schorn, 2011).
Summary of Chapters
1. Introduction: This chapter highlights the current public and media concerns regarding a potential housing bubble in Germany, outlining the research objective to analyze the market scientifically.
2. Definition and theoretical basis of asset price bubbles: This chapter provides a comprehensive review of the history of speculative bubbles and defines them from a fundamental perspective to establish a framework for analysis.
3. Price bubbles on real estate markets: This chapter explores the unique characteristics of real estate as an asset, including its locality and the behavior of market participants, which differentiates it from other asset classes.
4. Empirical approaches to the detection of price bubbles: This chapter introduces and applies key ratios like the Price-to-Rent and Price-to-Income ratios to assess the relative valuation of residential property.
5. Empirical analysis of the German residential real estate market using the Diba and Grossmann method: This core chapter applies the Augmented-Dickey-Fuller test to analyze regional and national price indices for evidence of non-fundamental value decoupling.
6. Conclusion: This final chapter synthesizes the results, summarizing that while localized overvaluation signals exist, the German residential market as a whole does not exhibit a bubble based on the fundamental data analyzed.
Keywords
Real Estate Market, Residential Property, Price Bubble, Germany, Diba and Grossmann Method, Augmented-Dickey-Fuller Test, House Price Index, Net Cold Rent, Market Indicators, Monetary Policy, Financial Stability, Property Valuation, Regional Differences, Speculation, Investment
Frequently Asked Questions
What is the primary objective of this thesis?
The thesis aims to scientifically verify whether a speculative price bubble currently exists in the German residential real estate market and to identify whether regional differences exist across different district types.
What are the main thematic pillars of the work?
The research focuses on the theoretical definition of price bubbles, the specific characteristics of the real estate market, empirical valuation ratios, and statistical stationarity analysis.
Which methodology is applied to detect price bubbles?
The author primarily utilizes the mathematical procedure developed by Diba and Grossmann (1988), which assesses the fundamental relationship between asset prices and underlying economic indices using the Augmented-Dickey-Fuller (ADF) test.
What does the empirical analysis conclude for the overall German market?
For the observed period (2010-2021), the analysis finds no evidence of an unsustainable bubble formation for the overall German residential property market.
What findings did the regional segment analysis reveal?
While the overall market showed stability, specific district types, specifically urban districts and rural districts with densification trends, showed initial indications of overvaluation in the 2016-2021 period.
Which factors are considered key indicators for bubble potential?
Key indicators include the decoupling of house prices from rents, average gross monthly earnings, and construction costs, alongside the impact of historically low interest rates.
How does the author explain the difference between European and German price developments?
The author attributes the starker price increase in Germany compared to the wider European market to a low home ownership rate and robust domestic demand for real estate as both an investment and consumption good.
What impact do "soft" and "hard" location factors have on the analysis?
These factors underscore the "locality" of real estate, explaining why market trends are not uniform and justifying the author's decision to differentiate the analysis by district types.
What role does the "rent cap" (rental price brake) play in the study?
The rent cap is identified as a regulatory intervention that prevents rental indices from reflecting pure market dynamics, which complicates the determination of the fundamental value of property.
What are the limitations of the research presented?
The author notes that price bubbles can only be identified with certainty ex-post (after they burst), and that the limited availability of granular data at the district level poses a challenge to definite conclusions.
- Arbeit zitieren
- Kilian Köberlein (Autor:in), Real Estate Bubble in Germany. The German Residential Real Estate Market for the Presence of a Bubble, München, GRIN Verlag, https://www.grin.com/document/1268386
