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While there are numerous indices for the German stock and bond markets, no performance index exists for the German property market, yet foreign institutional investors in particular are interested in the creation of a performance index, in order to achieve an acceptable framework for international real‐estate investment. Presents a construction method for a real‐estate performance index based on published accounting reports of open‐end real‐estate investment funds. This total return index can be disaggregated into a net cash‐flow return as well as capital growth, and could serve investors as an information tool about the German property market. This index could not only be used within the scope of performance analysis, but also for the benchmarking of real estate portfolios or decision making in portfolio management asset allocation. At the same time, this would enhance the transparency, liquidity and professionalism of the German real‐estate market.

This paper – the second half of a two‐part paper – constructs a notional property index for the German office market. The returns from this index are subject to numerous adjustments in order to produce a cash flow which reflects annual indexation changes in rent and possible reviews to open market levels at appropriate intervals, depending on the terms of the lease contracts and the rise and fall of office rents over time. The lease contracts modulate the relationship between changes in market rents and yields in the German office market (as recorded by the relevant published notional index) leading to capital value movements of the hypothetical portfolio. Attempts have also been made to take account of the effects of non‐recoverable operating costs, although depreciation and letting voids were not accounted for.

The lack of portfolio‐based property indices in European property markets has led researchers to consider the use of notional property indices to determine the risk and return rewards of investing in these markets. Owing to the computation assumptions underlying notional indices, in particular their inability to capture the prevalent lease structure in a market, they are unsuitable for this purpose, and investors devising European investment strategies around them need to be wary. This paper demonstrates the differences in property investment return delivery between notional and portfolio‐based indices, concentrating particularly on lease structures, and utilises data from the UK for this purpose. German lease structures are then considered in this context.

This paper investigates the link between equity and credit markets for the government‐sponsored mortgage institutions, Fannie Mae and Freddie Mac, during the period from January 2007 until December 2008. Before the financial crisis, investors perceived these real estate finance institutions as quasi state guaranteed.

By examining Fannie Mae and Freddie Mac during 2007 and 2008, this study extends existing research on the link between equity and credit markets. The authors employ univariate time series regression and vector autoregressive models to analyze the comovements over time and the lead‐lag relationship for equity returns, CDS spread changes, and bond spread changes.

The results provide evidence for equity returns and credit spreads of CDS and bonds being inversely related and adjusting simultaneously. The relationship between equity and credit markets intensifies during periods of heightened risks. The link between equity returns and bond spread changes is more robust in an environment of slightly elevated risk, while the relationship between equity and CDS markets intensifies during times of extreme stress. It was also found that the link between equity and credit markets completely breaks down as government intervention in the form of regulatory changes and ultimately, conservatorship, materializes.

Investors active in equity and credit markets need to be aware of the relevance of the prevailing capital market regime and the role of external effects such as government support and bailout.

There is a growing body of empirical research employing event studies and regression analyses on the firm level to examine the link between equity and credit default swaps. Yet, to the authors' knowledge this relationship has not been explored specifically for quasi guaranteed institutions. However, given the growing number of at least partly state owned real estate finance institutions, this specific focus is important to understand future expected risk compensation of equity and credit investors. The paper ask what lessons are to be learnt from the current financial crisis about investor protection in quasi guaranteed financial institutions.

The purpose of this paper is to examine the sources of direct real estate portfolio returns and their relative performance against Investment Property Databank (IPD) benchmark returns. Active property management consists of the concepts of property transaction execution and operational management, which can be classified as the main drivers of excess return sources.

Using a sample of three different portfolios managed by two institutional investors, the paper is able to estimate the relevant factors of active property management on annual excess returns for commercial and residential property sectors via a panel regression technique.

Empirical evidence shows that property‐specific effects exhibit significant sources of excess returns, but property management cannot be identified as their main driver. Furthermore, the sources of excess returns do not differ significantly across sectors; when controlled for property age and size, it is found that their influence is rather limited.

Information about the drivers of excess returns and their variations among property types may lead to superior investment decisions during portfolio rebalancing, and thus promote more efficient capital allocation. Information about return factors, i.e. about property and operational management, can substantially improve property selection and market timing in the asset allocation process. Hence, investors basing their property investment strategies on the impact of selected return factors could enhance the risk‐adjusted performance of their property portfolios.

This paper aims to contribute to the existing literature by identifying and quantifying the excess return sources of a given property portfolio over a predefined benchmark. Due to the lack of property‐related data, there is only limited research on the sources of direct property returns, such as property characteristics or active property management. The authors explore three main questions in this paper. First, they examine sources of excess returns over a benchmark index for several property sectors. Second, they analyze whether the drivers of excess returns vary significantly across these sectors. Third, they determine to what extent excess property returns are influenced by the “economic age” and “rentable area” of a building.

In the present era of Industry 4.0, the manufacturing automation is moving toward mass production and mass customization through human–robot collaboration. The purpose of this paper is to describe various human–robot collaborative (HRC) techniques and their applicability for various manufacturing methods along with key challenges.

Numerous recent relevant research literature has been analyzed, and various human–robot interaction methods have been identified, and detailed discussions are made on one- and two-way human–robot collaboration.

The challenges in implementing human–robot collaboration for various manufacturing process and the challenges in one- and two-way collaboration between human and robot are found and discussed.

The authors have attempted to classify the HRC techniques and demonstrated the challenges in different modes.

During oral exams at the German distance learning university, we noticed that students fear that they will be faced with questions that they have not anticipated. In our opinion, this is mainly because students have no chance to train and thereby gather positive experiences with exam situations as they are distributed all over Germany and thus it is difficult for them to meet each other. In this paper, we present a design space of 23 learning gadgets, i.e. tools that support collaborative learning, to allow collaborative exam preparation in peer‐based distributed student groups. We discuss this design space according to eight dimensions of the concept of FLOW (Csikszentmihalyi, 1991) that constitutes enjoyable situations. Two of the learning gadgets were implemented and integrated in the CURE environment, a web‐based collaborative learning platform that was developed to support different collaborative learning scenarios, e.g. collaborative exercises or virtual seminars. We discuss these learning gadgets in more detail and show how they promise an enjoyable collaborative exam preparation.

The purpose of this study is to enhance the understanding of the complete process of framing and implementing operational excellence in the pharmaceutical industry to ensure higher regulatory compliance.

A literature search was conducted using preferred reporting items for systematic reviews and meta-analyses guidelines. Strategies were set with different keywords and certain assessment criteria for the inclusion and exclusion of articles. A total of 46 articles were considered for a full review.

This study describes the impact of implementing operational excellence in day-to-day operations and the driving forces to achieve the same. Seven commonly used enablers are described can be used in combination to develop and validate an assessment model. Case studies are summarized to schematize operational excellence programs for the scope of their industry.

This study is limited to Indian pharmaceutical manufacturers. It is implied toward small-scale manufacturers. It can be further extended to manufacturers from other regions.

This study guides quality assurance managers, regulatory agencies and other top management to implement operational excellence to ensure higher regulatory compliance. It guides to develop a roadmap to operational excellence in their scope. This study is applicable to any manufacturing industry bound to comply with pharmaceutical regulatory standards.

To the best of the authors’ knowledge, at the time of publication, there are regulatory guidelines and some articles on various key enablers to achieve operational excellence. There is no published systematic review on achieving regulatory compliance by using operational excellence.

The development and testing of the hedonic methods for property valuation require statistical analysis and professional preparation of relevant databases. As a first step, the presumable relevant influencing variables (parameters) have to be determined. Previous studies have shown a large variety of parameters which overlap or deviate from each other. This study aims to collect, systematise and structure different parameters for the further development and testing of hedonic models.

The study comprises a detailed research and deeper analysis of previous studies regarding the hedonic valuation (mainly for residential properties). Flanking areas of examination serve, if they are appropriately suitable, as supplements (e.g. performance analysis and regression). Parameters are extracted from a wide range of literature, compared and integrated into an overall presentation of the results.

In total, 407 parameters were extracted from previous studies on hedonic valuation and performance analysis. Because of various definitions of some parameters in the literature, the current paper combined them in one meaning to avoid misunderstandings in further analysis. Higher-level (global) and lower-level (specific) parameters are contained/described in the final list. The result of this study identifies up to five levels of parameters (within the relevant hierarchy).

The parameters have not yet been statistically tested. The relevance of individual parameters has to be tested with relevant corresponding databases and statistical methods (e.g. correlation and regression).

To manage larger real estate portfolios, there is a need for regular property valuations. From this perspective, there is a great interest related to the optimisation of the valuation costs, valuation quality and valuation duration. Hedonic methods are considered as an efficient way of performing these valuation tasks. However, further suitable models and parameters are needed. The study describes parameters that can be appropriate for the development of relevant models and creates a structured parameters list, providing the technical basis for the latter. This structured parameter list is substantiated by the evaluation of the existing research.

Property values represent a significant asset for the national economy and for the individual wealth/welfare. The development of property value in a national economy is also relevant for politics, economy and society. The use of hedonic methods and the knowledge of important individual parameters can contribute towards assessing and substantiating the effect of political decisions on the value of real estate.

For the first time, a comprehensive and structured analysis on the value of the relevant parameters used in hedonic methods is performed. Thereby a large number of parameters were identified which question the stability of the results in respective individual studies. In addition, the newly developed hierarchy of parameters can serve as the basis for further research.