Im Ausgang von der aristotelischen Unterscheidung von >praxis< und >poiesis< in der Nikomachischen Ethik, Buch I und VI, sollen in diesem Seminar die unterschiedlichen Anknüpfungspunkte an die damit verbundenen Handlungsbegriffe in den Schriften von Karl Marx (‚Ökonomisch-philosophische Manuskripte‘ und ‚Kritik der politischen Ökonomie‘) und Hannah Arendt (‚Vita Activa‘) nachgegangen und zugleich die entscheidenden konzeptuellen Transformationen sichtbar gemacht werden. In den Philosophien von Marx und Arendt verbinden sich so – in unterschiedlicher Weise – anthropologische, kultur- und gesellschaftstheoretische sowie sozialethische Motivlagen hinsichtlich der Beschreibung und Kritik von praktischen Handlungsweisen und -räumen in der bürgerlichen und kapitalistischen Moderne.

Kurs im HIS-LSF

Kurs im HIS-LSF

When analyzing remote sensing images in (very) high spatial resolution, the investigated objects are usually much larger than the pixel size, i.e., a single target object is represented by a lot more than only one pixel in the image. This means that in addition to spectral properties of single pixels we can (and often need to) extract further information from the spatial arrangement of pixel values by analyzing features such as texture, shape or edge intensity. In addition, the spatial context of objects can play an important role during the analysis.
In this course we will explore methods for extracting such features from remote sensing images based on examples from research and practical applications. We will also look at how to leverage these features for the segmentation and classification of remote sensing data through techniques like geographic object-based image analysis (GEOBIA) and deep learning with convolutional neural networks (CNNs).
The course consists of three parts running in parallel: a lecture part, a discussion part (where students read and discuss research papers applying these methods), and a practical part (where students apply the methods themselves).
Details about the organization and grading will be given during the seminar.

Course Content:

The first part of the lecture explains the fundamental pricing equation and its intuition. We start with the CAPM as the most famous factor model and discuss tests based on time-series and cross-sectional regressions as well as tests based on portfolio sorts. Motivated by the empirical failure of the CAPM, we study the three-factor model of Fama and French and further extensions as e.g. the Momentum Factor by Carhart (1997) or Profitability and Investment (Fama and French (2015)). We also discuss the reasons why further risk factors besides the market return are priced. Subsequently, we look at the predictability of returns. To explain the predictive power of the price-dividend ratio for future returns, the Campbell-Shiller approximation plays a central role. We also discuss alternative predicting variables like financial ratios or macroeconomic quantities.

In the second part, we consider other asset classes besides stocks. We mainly focus on bonds and currencies and find that the insights from stock markets hold for these assets, too. We revisit the expectations hypotheses and discuss carry trades.

Learning Outcome:

Features Empirical Asset Pricing: To learn about predictability and cross-sectional asset pricing. To learn about testing procedures for factor models, such as regressions and portfolio sorts. To know about other priced factors besides the return on the market portfolio.

Preliminary Syllabus:

• Stylized facts in Asset Pricing
• Cross-Sectional Asset Pricing: Basics, CAPM Theory and Empirics, Intertemporal CAPMm Portfolio Sorts, Fama-French and beyond, Factor Search
• Market Timing: predictive variables, Campbell-Shiller approximation
• Further asset classes: Interest rates predictive variables and expectations hypothesis, Currencies carry trade and momentum

Course Content:

The first part of the lecture explains the fundamental pricing equation and its intuition. We start with the CAPM as the most famous factor model and discuss tests based on time-series and cross-sectional regressions as well as tests based on portfolio sorts. Motivated by the empirical failure of the CAPM, we study the three-factor model of Fama and French and further extensions as e.g. the Momentum Factor by Carhart (1997) or Profitability and Investment (Fama and French (2015)). We also discuss the reasons why further risk factors besides the market return are priced. Subsequently, we look at the predictability of returns. To explain the predictive power of the price-dividend ratio for future returns, the Campbell-Shiller approximation plays a central role. We also discuss alternative predicting variables like financial ratios or macroeconomic quantities.

In the second part, we consider other asset classes besides stocks. We mainly focus on bonds and currencies and find that the insights from stock markets hold for these assets, too. We revisit the expectations hypotheses and discuss carry trades.

Learning Outcome:

Features Empirical Asset Pricing: To learn about predictability and cross-sectional asset pricing. To learn about testing procedures for factor models, such as regressions and portfolio sorts. To know about other priced factors besides the return on the market portfolio.

Preliminary Syllabus:

• Stylized facts in Asset Pricing
• Cross-Sectional Asset Pricing: Basics, CAPM Theory and Empirics, Intertemporal CAPMm Portfolio Sorts, Fama-French and beyond, Factor Search
• Market Timing: predictive variables, Campbell-Shiller approximation
• Further asset classes: Interest rates predictive variables and expectations hypothesis, Currencies carry trade and momentum

Kurs im HIS-LSF

Learnweb:

Weitere Informationen zum Kurs finden Sie im Learnweb unter: (Der Link wird rechtzeitig bekannt gegeben)

Kurs im HIS-LSF

Kurs im HIS-LSF

Kurs im HIS-LSF

Kurs im HIS-LSF

Kurs im HIS-LSF

Kurs im HIS-LSF

Kurs im HIS-LSF

Kurs im HIS-LSF

Course objectives:

This course will introduce students to the reading and research skills required for their academic studies. Students will also be introduced to different research strategies and learn how to use bibliographical databases, academic libraries, reference works, and various kinds of print and online sources. They will learn how to use reference management software (Citavi) to compile bibliographies and format them according to standard academic conventions. We will also discuss different ways of using sources in academic work (e.g. paraphrase, summary and verbatim citation) and how to steer clear of plagiarism.

Course requirements:

There will be homework to help you prepare for the individual sessions. Please take your homework seriously to make sure that you get the maximum out of this class. You will also have to take a tour of the university library and take a short quiz in English to check what you learned.

Assignment:

The major (graded) assignment of this course consists in submitting a concrete title, a short summary of the research issue and a bibliography on a research topic (min. 40 relevant sources) – this topic can be used again in the written assignments you will be doing in other courses. This assignment must not be conducted as group work.

BA G: 2 LP, Studienleistung

BA HRSGe: 3 LP, Prüfungsleistung, 20 % of the module grade

BA 2-Fach: 3 LP, Prüfungsleistung, 20% of module grade

BA BK: 3 LP, Prüfungsleistung, 20 % of the module grade

This course is designed for 1st and 2nd semester BA-students. Please be aware that you need to pass Academic Skills before being allowed to register for exams belonging to the third semester of the 2018 BA-Programme und that you cannot register for the 2^nd semester exam in ”Foundations of Linguistics and Literary and Cultural Studies II” unless you have passed or are registered for Academic Skills.

Kurs im HIS-LSF

The speakers will present recent results from their area of research.

Kurs im HIS-LSF