<abstract xmlns="http://www.w3.org/1999/xhtml">

FDIs are an important part of the ‘bloodstream’ of many countries’ economies, and it would be difficult to overestimate the benefits of FDIs for the states that receive them. The processes of FDI influx and their effects have been the subject of numerous studies and analyses in the fields of both economic theory and empirical research. However, less attention has been paid to the process of divestment, which in many cases may result in adverse changes in the economies of FDI recipient countries. This article proposes that event history analysis methods can be used to study the survival of FDI projects. FDIs are launched at a certain point in time by investors, last for some time, and then can be either terminated or continued. In this context, we may come across complete as well as truncated observations, much like in the analyses of population processes, therefore the use of demographic methods to study the survivability of FDI projects is justified. The purpose of this article was to present specially constructed FDI life tables and to compare the ‘survivability’ patterns of foreign direct investments in selected economic sectors of the Visegrád Group countries. For many years, these countries have enjoyed considerable interest from foreign investors and have often competed with each other for new FDI projects. Therefore, comparing them not only in terms of the processes related to FDI influx, but also in terms of the processes of divestment appears interesting and important to economists, market analysts and the investors themselves. The study used data from the Orbis and Zephyr databases.
</abstract>

Comparative Analysis of FDI Duration in the Visegrád Group Member States, Using Mortality Tables: A Sectoral Approach

<abstract xmlns="http://www.w3.org/1999/xhtml">

This article focuses on the presentation of the forecasting possibilities of bootstrap methods used to predict prices based on time series. The aim of the paper was to examine the quality of the forecasts made with the methods for silver futures contracts. In order to achieve the intended goal, ex-post and ex-ante errors for the forecasts prepared by applying bootstrap methods were analysed. The forecasts were calculated using the daily closing prices of the silver futures contracts for the period from 01/07/2020 to 27/03/2022 The analysis showed that the quality of forecasts for each of the presented methods is at a satisfactory level. Moreover, the forecasts calculated using the bootstrap methods were closer to the real performance of the silver futures contracts than the forecasts obtained using the ARMA model (1,1). In addition, it was shown that the forecasts made with the tapered block bootstrap method are less affected by forecast errors than the other analysed methods.
</abstract>

Applying Block Bootstrap Methods in Silver Prices Forecasting

<abstract xmlns="http://www.w3.org/1999/xhtml">

In this paper the author introduced a new conditional distribution function estimator, in short (cdf), when the co-variables are functional in nature. This estimator is a mix of both procedures the <italic>k</italic> Nearest Neighbour method and the spatial functional estimation.
</abstract>

Unform in Bandwith of the Conditional Distribution Function with Functional Explanatory Variable: The Case of Spatial Data with the <italic>K</italic> Nearest Neighbour Method

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Econometrics

 The Econometrics journal has been published continuously since 1998. Starting from the first issue, Józef Dziechciarz has been an Editor-in-Chief of the journal. Until 2011, the journal was issued in the series of Academic Research Papers at the Wrocław University of Economics as Econometrics. Applications of quantitative methods. Since 2009, four issues have been published annually. It enables the introduction of regular quarterly release cycle. The Econometrics is published in English. The Scientific Council of our journal also includes professors affiliated with foreign institutions. The list of scientific reviewers includes eminent scientists from both home and abroad. Among the authors of the publications are both scientists from Polish academia, as well as many scientists from foreign universities. High level of scientific works, our confidence and insightful comments from reviewers contribute to the publication of valuable articles and dissemination of national scientific achievements. Until the end of 2017, fifty eight issues of the journal were published.  The subject area of the published articles covers theoretical and practical aspects of the methods of econometrics, statistics and mathematics. The domain of applications of these methods covers wider economic issues, including macro and microeconomic analyses; statistical and econometric analysis and modeling market data, as well as capital investment and insurance problems. Social and demographic analyses cover the issues of education, employment and unemployment, poverty, etc. Many studies have cyclical character, published articles show long-term results of research, include a scientific discussion with the reviewers suggestions formulated on the basis of earlier works. This allows to track the progress of scientific research, and the publications appearing in the Econometrics journal are an inspiration to undertake new research challenges.  econometrics.ue.wroc.pl/　   The Econometrics journal is indexed in Google Scholar and details on the citations can be found on Google Scholar Citations.  Also find us at:   Index Copernicus  Erih Plus    Why subscribe and read The Econometrics is a scientific journal that promotes both theoretical aspects of mathematical, statistical and econometric methods as well as application possibilities. It focuses on the presentation of new and modernization of well-known methods as well as their adaptation in economy, business processes and social sciences in a very broad meaning. Due to the fast publishing production, the presented articles refer to the latest research, papers are always up-to-date, original, scientific, never printed before in other scientific journals. The Econometrics is the place of interdisciplinary debate with the participation of economists and statisticians.  Why submit The journal offers a fast, honest and constructive review, carried out in the double blind review process. After acceptance, an article is evaluated by a native speaker and a statistics editor. After acceptance, the publication process is very fast.The Econometrics journal belongs to the group of magazines that are constantly highly rated and enjoy a good reputation among authors and reviewers.  Rejection Rate   32%   Archiving  Sciendo archives the contents of this journal in Portico - digital long-term preservation service of scholarly books, journals and collections.  Plagiarism Policy  The editorial board is participating in a growing community of Similarity Check System's users in order to ensure that the content published is original and trustworthy. Similarity Check is a medium that allows for comprehensive manuscripts screening, aimed to eliminate plagiarism and provide a high standard and quality peer-review process. 

Econometrics

Volume 26 (2022): Issue 2 (June 2022)

Comparative Analysis of FDI Duration in the Visegrád Group Member States, Using Mortality Tables: A Sectoral Approach

Applying Block Bootstrap Methods in Silver Prices Forecasting

Unform in Bandwith of the Conditional Distribution Function with Functional Explanatory Variable: The Case of Spatial Data with the K Nearest Neighbour Method

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