Alternative data and sentiment analysis: Prospecting non-standard data in machine learning-driven finance
Social media commentary, satellite imagery and GPS data are a part of 'alternative data', that
is, data that originate outside of the standard repertoire of market data but are considered …
is, data that originate outside of the standard repertoire of market data but are considered …
ESG score prediction through random forest algorithm
V D'Amato, R D'Ecclesia, S Levantesi - Computational Management …, 2022 - Springer
Environment-related risks affect assets in various sectors of the global economy, as well as
social and governance aspects, giving birth to what is known as ESG investments …
social and governance aspects, giving birth to what is known as ESG investments …
Integrating alternative data (also known as ESG data) in investment decision making
What is environmental, social, and governance (ESG) data and how do we evaluate its
quality and effectiveness? This form of evaluation is important, as it is a precondition for …
quality and effectiveness? This form of evaluation is important, as it is a precondition for …
Can third-party online sales disclosure help reduce earnings management? Evidence from China
Q Li, S Liu - Journal of Accounting and Public Policy, 2022 - Elsevier
Alternative data plays an increasingly important role in investment and commodities market
analysis. This study empirically investigates the effect on earnings management of …
analysis. This study empirically investigates the effect on earnings management of …
[HTML][HTML] Deep learning-based object recognition in multispectral satellite imagery for real-time applications
P Gudžius, O Kurasova, V Darulis… - Machine Vision and …, 2021 - Springer
Satellite imagery is changing the way we understand and predict economic activity in the
world. Advancements in satellite hardware and low-cost rocket launches have enabled near …
world. Advancements in satellite hardware and low-cost rocket launches have enabled near …
[PDF][PDF] Machine learning algorithms for financial asset price forecasting
P Ndikum - arXiv preprint arXiv:2004.01504, 2020 - researchgate.net
This research paper explores the performance of Machine Learning (ML) algorithms and
techniques that can be used for financial asset price forecasting. The prediction and …
techniques that can be used for financial asset price forecasting. The prediction and …
Does alternative data reduce stock price crash risk? Evidence from third-party online sales disclosure in China
Q Li, S Liu - International Review of Financial Analysis, 2023 - Elsevier
This study empirically investigates the effect of releasing alternative data on firm-specific
price crash risk. Using the public launch of a firm's third-party online sales data in a well …
price crash risk. Using the public launch of a firm's third-party online sales data in a well …
[BOOK][B] The Technologized Investor: Innovation through Reorientation
AHB Monk, D Rook - 2020 - books.google.com
“A detailed, cogent road map for organizations such as pension funds to harness technology
and truly invest for the long-term.”―Eric Schmidt, former CEO, Google Silver Medal Winner …
and truly invest for the long-term.”―Eric Schmidt, former CEO, Google Silver Medal Winner …
Costs associated with exit or disposal activities: A topic modeling investigation of disclosure and market reaction
CP Cullinan, R Holowczak, D Louton… - Intelligent Systems in …, 2023 - Wiley Online Library
Summary The Securities and Exchange Commission (SEC) mandates disclosure of exit or
disposal activity events in 8‐K filings. We use Latent Dirichlet Allocation (LDA), a topic …
disposal activity events in 8‐K filings. We use Latent Dirichlet Allocation (LDA), a topic …
An adaptive master-slave regularized model for unexpected revenue prediction enhanced with alternative data
Revenue prediction is an essential component in security analysis since the revenue of a
company has a great impact on the performance of its stock. For investment, one of the most …
company has a great impact on the performance of its stock. For investment, one of the most …