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[HTML][HTML] Review on efficiency and anomalies in stock markets
The efficient-market hypothesis (EMH) is one of the most important economic and financial
hypotheses that have been tested over the past century. Due to many abnormal phenomena …
hypotheses that have been tested over the past century. Due to many abnormal phenomena …
[HTML][HTML] Systematic Map** Study of Sales Forecasting: Methods, Trends, and Future Directions
In a dynamic business environment, the accuracy of sales forecasts plays a pivotal role in
strategic decision making and resource allocation. This article offers a systematic review of …
strategic decision making and resource allocation. This article offers a systematic review of …
Review on behavioral economics and behavioral finance
WK Wong - Studies in Economics and Finance, 2020 - emerald.com
Purpose This paper aims to give a brief review on behavioral economics and behavioral
finance and discusses some of the previous research on agents' utility functions, applicable …
finance and discusses some of the previous research on agents' utility functions, applicable …
Modeling stock price movements prediction based on news sentiment analysis and deep learning
Nowadays, with the rapid growth of information spread, investors involve news and
sentiments in their financial decision more than before. This paper investigates the effect of …
sentiments in their financial decision more than before. This paper investigates the effect of …
High-frequency predictability of housing market movements of the United States: the role of economic sentiment
We analyze the ability of a newspaper-based economic sentiment index of the United States
to predict housing market movements using daily data from 2nd August, 2007 to 19th June …
to predict housing market movements using daily data from 2nd August, 2007 to 19th June …
Time-varying spillovers between housing sentiment and housing market in the United States☆
This paper investigates spillovers between the housing sentiment index of Bork et al.(2020),
common factors in US real housing returns and their volatility, GDP growth and real interest …
common factors in US real housing returns and their volatility, GDP growth and real interest …
[Retracted] Application of Bayesian Vector Autoregressive Model in Regional Economic Forecast
J Ma, Y Shang, H Zhang - Complexity, 2021 - Wiley Online Library
The Bayesian vector autoregressive (BVAR) model introduces the statistical properties of
variables as the prior distribution of the parameters into the traditional vector autoregressive …
variables as the prior distribution of the parameters into the traditional vector autoregressive …
[PDF][PDF] Applied aspects of time series models for predicting residential property prices in Bulgaria
S Iliychovski, T Filipova… - … and Perspectives in …, 2022 - businessperspectives.org
Accurate housing price forecasts play a critical role in balancing supply and demand in the
residential real estate market, as well as in achieving the goals of various stakeholders …
residential real estate market, as well as in achieving the goals of various stakeholders …
Forecasts of growth in US residential investment: accuracy gains from consumer home-buying attitudes and expectations
H Baghestani - Applied Economics, 2021 - Taylor & Francis
This study focuses on the Federal Reserve and private forecasts of growth in real residential
investment. The aim is to improve predictive accuracy by first evaluating these forecasts. The …
investment. The aim is to improve predictive accuracy by first evaluating these forecasts. The …
Learning real estate automated valuation models from heterogeneous data sources
Real estate appraisal is a complex and important task, that can be made more precise and
faster with the help of automated valuation tools. Usually the value of some property is …
faster with the help of automated valuation tools. Usually the value of some property is …