This paper provides insight view of an investor mind dueling on proving the fact that a series of event in a company could cause a dramatic move on to practitioners who wish to forecast market returns based on event occurrences.Using 12 years (2006 to 2018) historical data of Foxconn Company...

This paper uses firm-level survey data matched with official tax records to estimate the unobserved true sales of formal firms in Mongolia. Taking into account firm-level incentives to comply with taxes and a production function technology linking unobserved true sales with observable firm-level...

Due to the complexity of tax and the time and resources needed to monitor and examine tax returns, tax noncompliance is challenging to detect. Big data and sophisticated analytics might help tax authorities extract actionable data insights. Using income tax record data, this paper employs an...

Many experimental research designs offer participants the opportunity to chat with each other. While experimental research has traditionally treated text as process data, this paper proposes a novel approach to interpret and use chat data in a structured supervised classification task....

This paper builds on the recent debate on the in-sample and out-of-sample predictability of US aggregate returns using a wide range of predictors by providing new evidence for smaller and less market-oriented European countries. We find evidence that macro and technical predictors can...

Despite the frequency of tax changes and their potential importance to investors, there has been relatively little modeling of anticipated tax changes. Yet whether future tax reforms are predictable or not will have an enormous effect on estimates of the impact of current tax policies. This...

Using annual time series data on net FDI inflows for Nigeria from 1960 to 2017, the study analyzes net FDI inflows using the Box – Jenkins ARIMA methodology. The Augmented Dickey-Fuller tests show that Nigeria FDI net FDI inflows data is I (1). Based on the AIC, the study presents the ARIMA...

Carry trade refers to a risky arbitrage in interest rate differentials between two currencies. Persistent excess carry trade returns pose a challenge to foreign exchange market efficiency. Using a data set of ten currencies between 1990 and 2017, we find: (i) a machine learning model, long...