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My Presentation Template

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Jonathan Berrisch

University of Duisburg-Essen, House of Energy, Climate, and Finance

January 22, 2025

Cove Slide 1

Introduction

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This is a first equation:

\[\begin{align} \widehat{\boldsymbol{\beta}}^{\text{ls}}(\boldsymbol{X},\boldsymbol{Y}) = \mathop{\rm arg\,min}_{\boldsymbol{\beta} \in \mathbb R^{p}} \|\underbrace{\boldsymbol{Y} - \boldsymbol{X}\boldsymbol{\beta}}_{\text{error vector}}\|_2^2 & = \mathop{\rm arg\,min}_{\boldsymbol{\beta} \in \mathbb R^{p}} (\boldsymbol{Y} - \boldsymbol{X}\boldsymbol{\beta} )' ( \boldsymbol{Y} - \boldsymbol{X}\boldsymbol{\beta}) \nonumber \\ & = \mathop{\rm arg\,min}_{\boldsymbol{\beta} \in \mathbb R^{p}} \sum_{d=1}^D (\underbrace{Y_{d} - \boldsymbol{X}_{d}'\boldsymbol{\beta}}_{\text{error at day }d} )^2 . \label{eq_OLS_estimator_argmin} \end{align}\]

They get enumerated by default an can be referenced like this: \(\eqref{eq_OLS_estimator_argmin}\)

Cover Slide 2 (uncounted)

Content Slide 1

The fontawesome extensions: https://github.com/quarto-ext/fontawesome is available in this template. So you can insert icons:

Equations can also be referenced across slided: \(\eqref{eq_OLS_estimator_argmin}\)

Slides can also be referenced: Section 2.2

Image generated by Sora (OpenAI)

Three columns

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Has

Three Columns

Citations

Citations are easy using your biblatex file:

citet style: Berrisch et al. (2023)

citep style: (Berrisch et al., 2023)

year only: (2023)

These will be added to the references section automatically.

Cesa-Bianchi & Lugosi (2006)

Marcjasz et al. (2023)

Tabsets

Sometimes its nice to use tabs

to show additional content only when asked.

You can also

use columns, code blocks etc.

in tabs.

Tikz Test

References

Berrisch, J., Pappert, S., Ziel, F., & Arsova, A. (2023). Modeling volatility and dependence of european carbon and energy prices. Finance Research Letters, 52, 103503. DOI: 10.1016/j.frl.2022.103503
Cesa-Bianchi, N., & Lugosi, G. (2006). Prediction, learning, and games (pp. I–XII, 1–394). Cambridge university press. DOI: 10.1017/CBO9780511546921
Marcjasz, G., Narajewski, M., Weron, R., & Ziel, F. (2023). Distributional neural networks for electricity price forecasting. Energy Economics, 125, 106843. DOI: 10.1016/j.eneco.2023.106843