A general theoretical and empirical framework is developed for assessing the potential of a vertically integrated firm to foreclose downstream competitors. Using this framework a policymaker may also evaluate the empirical welfare effects from a vertically integrated firm raising rivals' costs....

Systematic trading is a method that is currently extremely popular in the investment world. The testing of systematic trading rules is usually done through backtesting and is at high risk of spurious accuracy as a result of the data-mining bias (DMB) present from testing multiple rules...

We present a strategy to forecast and assess customer behavior in the field of e-commerce. Starting point is the assignment of all actors in a market to an exhaustive set of potentially accessible users. Usually, only a small part of this set belongs to real customers in the context of...

Outlier detection refers to the identification of rare items that are deviant from the general data distribution. Existing approaches suffer from high computational complexity, low predictive capability, and limited interpretability. As a remedy, we present a novel outlier detection algorithm...

Financial analysts assume that the reliability of predictions derived from regression analysis improves with sample size. This is generally true because larger samples tend to produce less noisy results than smaller samples. But this is not always the case. Some observations are more relevant...

A general theoretical and empirical framework is developed for assessing the potential of a vertically integrated firm to foreclose downstream competitors. Using this framework a policymaker may also evaluate the empirical welfare effects from a vertically integrated firm raising rivals' costs....

Accidents forecast of various nature with sufficient economic damage, maximal loss enhancement, elimination of their consequences is a national wide problem It is an important concern of authorities and all levels management In order to solve this problem we need a forecast system for...

This paper compares the ability of the log periodic power law (LPPL) procedure and the supremum augmented Dickey Fuller (supremum ADF) tests to confirm or reject the presence of bubbles in various time series simulations. We develop a time stamping method for the LPPL procedure and derive a more...

A Hidden Markov Model (HMM) is used to model the VIX (the Cboe Volatility Index). A 4- state Gaussian mixture is fitted to the VIX price history from 1990 to 2022. Using a growing window of training data, the price of the S&P500 is predicted and two trading algorithms are presented, based on the...

A time-series basis decomposition and trend extraction technique known as Empirical Mode Decomposition (EMD), designed for multi-scale time-frequency decomposition in non-stationary time-series settings, will be combined with Regularised Covariance Regression (RCR) methods to produce a framework...