Essays about: "Walk Forward Analysis"
Showing result 1 - 5 of 11 essays containing the words Walk Forward Analysis.
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1. Analysis of condition for ALD deposition of ferroelectric HZO
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : Deposition of ferroelectric hafnium zirconium oxide (HZO) on semiconductor samples with Atomic Layer Deposition (ALD) has proven to be a viable method of production. But while the physical processes of ALD deposition is relatively well know, there exists some gaps in knowledge about different parameters for the ALD and the resulting depositions. READ MORE
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2. Hierarchical Clustering in Risk-Based Portfolio Construction
University essay from KTH/Matematisk statistikAbstract : Following the global financial crisis, both risk-based and heuristic portfolio construction methods have received much attention from both academics and practitioners since these methods do not rely on the estimation of expected returns and as such are assumed to be more stable than Markowitz's traditional mean-variance portfolio. In 2016, Lopéz de Prado presented the Hierarchical Risk Parity (HRP), a new approach to portfolio construction which combines hierarchical clustering of assets with a heuristic risk-based allocation strategy in order to increase stability and improve out-of-sample performance. READ MORE
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3. Smile! It increases your face value
University essay from Lunds universitet/Nationalekonomiska institutionenAbstract : This thesis examines some of the multiple variations of the previously established Rules of Thumb; which are used in attempting to explain implied volatility sur- faces. Here, these Rules are extensively tested on the Swedish stock market index (OMXS30) using rolling window analysis and linear stepwise regressions with for- ward selection. READ MORE
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4. A Snapshot of Climate Change Adaptation Efforts in American Urban Planning & Development
University essay from Lunds universitet/Avdelningen för Riskhantering och SamhällssäkerhetAbstract : To understand how American cities “walk the talk” regarding climate change adaptation, the question “What effect do American city-wide adaptation efforts have on urban development trends?” is posed. The method covers the breadth and depth of the subject by studying the overall national climate discourse and utilizing three major American cities as case studies. READ MORE
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5. High-variance multivariate time series forecasting using machine learning
University essay from Uppsala universitet/Institutionen för informatik och mediaAbstract : There are several tools and models found in machine learning that can be used to forecast a certain time series; however, it is not always clear which model is appropriate for selection, as different models are suited for different types of data, and domain-specific transformations and considerations are usually required. This research aims to examine the issue by modeling four types of machine- and deep learning algorithms - support vector machine, random forest, feed-forward neural network, and a LSTM neural network - on a high-variance, multivariate time series to forecast trend changes one time step in the future, accounting for lag. READ MORE
