This paper shows how asymptotically valid inference in regression models based on the weighted least squares (WLS) estimator can be obtained even when the model for reweighting the data is misspecified. Like the ordinary least squares estimator, the WLS estimator can be accompanied by...

In this report, we evaluate the use of the Least Squares Monte Carlo (LSM) method, which was proposed by Longstaff and Schwartz in 2001. The holder of an American option has the right to exercise the option anytime, which makes the option much more difficult to price compared to a European style...

The aim of our article is to analyze the dynamics of housing prices in the secondary housing market in Warsaw from Q1 2006 to Q3 2013, taking into account the spatial relationship between prices. In the first part of this research we compare the geographically weighted regression with a linear...

In management accounting research, the capabilities of Partial Least Squares Structural Equation Modelling (PLS-SEM) have only partially been utilized. These yet unexploited capabilities of PLS-SEM are a useful tool in the often explorative state of research in management accounting. After...

A typical MIDAS regression involves estimating parameters via nonlinear least squares, unless U-MIDAS is applied - which involves OLS - the latter being appealing when the sampling frequency differences are small. In this paper we propose to use OLS estimation of the MIDAS regression slope and...

This study investigates the time varying behavior of betas (Systematic risk) in Colombo Stock Exchange (CSE). The study used the trading data of 26 stocks listed in Bank Finance & Insurance, Hotels & Travel, and Manufacturing sectors for a period of 9 years for the analysis from 2005 to 2013....

This paper proposes a multivariate least squares Mallows averaging approach to the issue of forecast combination by vector autoregressive (VAR) model fitting. Our approach extends the current literature on frequentist least squares model/forecast averaging methods, in particular Hansen (2008),...

Purpose – Indirect or mediated effects constitute a type of relationship between constructs that often occurs in partial least squares path modeling (PLS). Over the past few years, the methods for testing mediation have become more sophisticated. However, many researchers continue to use...

In this paper, we propose a modification of the three-pass regression filter (3PRF) to make it applicable to large mixed frequency datasets with ragged edges in a forecasting context. The resulting method, labeled MF-3PRF, is very simple but compares well to alternative mixed frequency factor...

Background: This article investigates the Least-Squares Monte Carlo Method by using different polynomial basis in American Asian Options pricing. The standard approach in the option pricing literature is to choose the basis arbitrarily. By comparing four different polynomial basis we show that...