Angebote zu "Behavior" (10 Treffer)

Kategorien

Shops

How the Globalization of Capital Markets Has Af...
21,99 € *
ggf. zzgl. Versand

How the Globalization of Capital Markets Has Affected the Listing Behavior of Foreign Issuers ab 21.99 € als Taschenbuch: The Case of Daimler's Listing on the NYSE. 1. Auflage. Aus dem Bereich: Bücher, Wissenschaft, Wirtschaftswissenschaft,

Anbieter: hugendubel
Stand: 19.09.2020
Zum Angebot
How the Globalization of Capital Markets Has Af...
11,99 € *
ggf. zzgl. Versand

How the Globalization of Capital Markets Has Affected the Listing Behavior of Foreign Issuers ab 11.99 € als epub eBook: The Case of Daimler's Listing on the NYSE. 1. Auflage. Aus dem Bereich: eBooks, Wirtschaft,

Anbieter: hugendubel
Stand: 19.09.2020
Zum Angebot
How the Globalization of Capital Markets Has Af...
21,99 € *
ggf. zzgl. Versand

How the Globalization of Capital Markets Has Affected the Listing Behavior of Foreign Issuers ab 21.99 EURO The Case of Daimler's Listing on the NYSE. 1. Auflage

Anbieter: ebook.de
Stand: 19.09.2020
Zum Angebot
How the Globalization of Capital Markets Has Af...
11,99 € *
ggf. zzgl. Versand

How the Globalization of Capital Markets Has Affected the Listing Behavior of Foreign Issuers ab 11.99 EURO The Case of Daimler's Listing on the NYSE. 1. Auflage

Anbieter: ebook.de
Stand: 19.09.2020
Zum Angebot
Time Series Forecasting using Deep Learning
39,89 € *
ggf. zzgl. Versand

Deep Learning which comprises Deep Neural Networks (DNNs) has achieved excellent success in image classification, speech recognition, etc. But DNNs suffer a lot of challenges for time series forecasting (TSF) because most of the time-series data are nonlinear in nature and highly dynamic in behavior. TSF has a great impact on our socio-economic environment. Hence, to deal with these challenges the DNN model needs to be redefined, and keeping this in mind, data pre-processing, network architecture and network parameters are needed to be considered before feeding the data into DNN models. Data normalization is the basic data pre-processing technique form which learning is to be done. The effectiveness of TSF heavily depends on the data normalization technique. In this Book, different normalization methods are used on time series data before feeding the data into the DNN model and we try to find out the impact of each normalization technique on DNN for TSF. We also propose the Deep Recurrent Neural Network (DRNN) to predict the closing index of the Bombay Stock Exchange (BSE) and the New York Stock Exchange (NYSE) by using time series data.

Anbieter: Dodax
Stand: 19.09.2020
Zum Angebot
An Analysis of Optimistic and Pessimistic Langu...
17,90 CHF *
zzgl. 3,50 CHF Versand

Seminar paper from the year 2011 in the subject Computer Science - Commercial Information Technology, University of Freiburg (Chair of Information Systems Research), language: English, abstract: Earnings press releases are the major news event of the season for companies and investors, analysts, financial media and the market. As framework of investor relations (IR) they communicate the financial performance in numerical and narrative forms. For example, earnings press releases are obligatory for firms listed on the New York Stock Exchange (NYSE). There are several rules and guidelines how to prepare them. An accurate earnings press release contains, apart from analyses of operating results, historical data, positive and negative factors affecting key financial indicators, a realistic and truthful forecast of future quarters. Whereas numerous studies focus on interpretation of numerical forms in earnings press releases, this paper examines the influence of optimistic and pessimistic language in earnings press releases on future firm performance with several studies. It also opposes different approaches to measure the tone. Based on the study 'Beyond the Numbers: An Analysis of Optimistic and Pessimistic Language in Earnings Press Releases' published by Davis, Piger and Sedor the paper presents a textual analysis approach with DICTION 5.0. The authors have been the first scientists so far to examine the role language plays in the credible communication of information to investors. The dictionary-based content analysis program DICTION 5.0 is able to identify subtle aspects of language. The systematic textual analysis techniques are based on pre-existing search rules. It is able to analyze a larger sample size than possible by human coding or manual reading. Apart from this, statistical methods - like the naïve Bayesian learning algorithm, reducing a given sentence to a list of words - are introduced and compared with each other. Given the different approaches to analyze the impact of language in earnings press releases to future earnings a positive correlation between optimistic language and future firm performance can be stated. Bearing in mind that earnings press releases may use a promotional presentation style of company's development and opportunistic behavior to delude investors is feasible, current and future applications should be discussed critically.

Anbieter: Orell Fuessli CH
Stand: 19.09.2020
Zum Angebot
An Analysis of Optimistic and Pessimistic Langu...
8,90 CHF *
ggf. zzgl. Versand

Seminar paper from the year 2011 in the subject Computer Science - Commercial Information Technology, University of Freiburg (Chair of Information Systems Research), language: English, abstract: Earnings press releases are the major news event of the season for companies and investors, analysts, financial media and the market. As framework of investor relations (IR) they communicate the financial performance in numerical and narrative forms. For example, earnings press releases are obligatory for firms listed on the New York Stock Exchange (NYSE). There are several rules and guidelines how to prepare them. An accurate earnings press release contains, apart from analyses of operating results, historical data, positive and negative factors affecting key financial indicators, a realistic and truthful forecast of future quarters. Whereas numerous studies focus on interpretation of numerical forms in earnings press releases, this paper examines the influence of optimistic and pessimistic language in earnings press releases on future firm performance with several studies. It also opposes different approaches to measure the tone. Based on the study 'Beyond the Numbers: An Analysis of Optimistic and Pessimistic Language in Earnings Press Releases' published by Davis, Piger and Sedor the paper presents a textual analysis approach with DICTION 5.0. The authors have been the first scientists so far to examine the role language plays in the credible communication of information to investors. The dictionary-based content analysis program DICTION 5.0 is able to identify subtle aspects of language. The systematic textual analysis techniques are based on pre-existing search rules. It is able to analyze a larger sample size than possible by human coding or manual reading. Apart from this, statistical methods - like the naïve Bayesian learning algorithm, reducing a given sentence to a list of words - are introduced and compared with each other. Given the different approaches to analyze the impact of language in earnings press releases to future earnings a positive correlation between optimistic language and future firm performance can be stated. Bearing in mind that earnings press releases may use a promotional presentation style of company's development and opportunistic behavior to delude investors is feasible, current and future applications should be discussed critically.

Anbieter: Orell Fuessli CH
Stand: 19.09.2020
Zum Angebot
An Analysis of Optimistic and Pessimistic Langu...
10,30 € *
zzgl. 3,00 € Versand

Seminar paper from the year 2011 in the subject Computer Science - Commercial Information Technology, University of Freiburg (Chair of Information Systems Research), language: English, abstract: Earnings press releases are the major news event of the season for companies and investors, analysts, financial media and the market. As framework of investor relations (IR) they communicate the financial performance in numerical and narrative forms. For example, earnings press releases are obligatory for firms listed on the New York Stock Exchange (NYSE). There are several rules and guidelines how to prepare them. An accurate earnings press release contains, apart from analyses of operating results, historical data, positive and negative factors affecting key financial indicators, a realistic and truthful forecast of future quarters. Whereas numerous studies focus on interpretation of numerical forms in earnings press releases, this paper examines the influence of optimistic and pessimistic language in earnings press releases on future firm performance with several studies. It also opposes different approaches to measure the tone. Based on the study 'Beyond the Numbers: An Analysis of Optimistic and Pessimistic Language in Earnings Press Releases' published by Davis, Piger and Sedor the paper presents a textual analysis approach with DICTION 5.0. The authors have been the first scientists so far to examine the role language plays in the credible communication of information to investors. The dictionary-based content analysis program DICTION 5.0 is able to identify subtle aspects of language. The systematic textual analysis techniques are based on pre-existing search rules. It is able to analyze a larger sample size than possible by human coding or manual reading. Apart from this, statistical methods - like the naïve Bayesian learning algorithm, reducing a given sentence to a list of words - are introduced and compared with each other. Given the different approaches to analyze the impact of language in earnings press releases to future earnings a positive correlation between optimistic language and future firm performance can be stated. Bearing in mind that earnings press releases may use a promotional presentation style of company's development and opportunistic behavior to delude investors is feasible, current and future applications should be discussed critically.

Anbieter: Thalia AT
Stand: 19.09.2020
Zum Angebot
An Analysis of Optimistic and Pessimistic Langu...
6,99 € *
ggf. zzgl. Versand

Seminar paper from the year 2011 in the subject Computer Science - Commercial Information Technology, University of Freiburg (Chair of Information Systems Research), language: English, abstract: Earnings press releases are the major news event of the season for companies and investors, analysts, financial media and the market. As framework of investor relations (IR) they communicate the financial performance in numerical and narrative forms. For example, earnings press releases are obligatory for firms listed on the New York Stock Exchange (NYSE). There are several rules and guidelines how to prepare them. An accurate earnings press release contains, apart from analyses of operating results, historical data, positive and negative factors affecting key financial indicators, a realistic and truthful forecast of future quarters. Whereas numerous studies focus on interpretation of numerical forms in earnings press releases, this paper examines the influence of optimistic and pessimistic language in earnings press releases on future firm performance with several studies. It also opposes different approaches to measure the tone. Based on the study 'Beyond the Numbers: An Analysis of Optimistic and Pessimistic Language in Earnings Press Releases' published by Davis, Piger and Sedor the paper presents a textual analysis approach with DICTION 5.0. The authors have been the first scientists so far to examine the role language plays in the credible communication of information to investors. The dictionary-based content analysis program DICTION 5.0 is able to identify subtle aspects of language. The systematic textual analysis techniques are based on pre-existing search rules. It is able to analyze a larger sample size than possible by human coding or manual reading. Apart from this, statistical methods - like the naïve Bayesian learning algorithm, reducing a given sentence to a list of words - are introduced and compared with each other. Given the different approaches to analyze the impact of language in earnings press releases to future earnings a positive correlation between optimistic language and future firm performance can be stated. Bearing in mind that earnings press releases may use a promotional presentation style of company's development and opportunistic behavior to delude investors is feasible, current and future applications should be discussed critically.

Anbieter: Thalia AT
Stand: 19.09.2020
Zum Angebot