Equity valuation using benchmark multiples: An improved approach using regression-based weights

Equity Valuation Using Multiples

We examine the valuation performance of a comprehensive list of value drivers and find that multiples derived from forward earnings explain stock prices remarkably well: pricing errors are within 15 percent of stock prices for about half our sample. In terms of relative performance, the following general rankings are observed consistently each year: forward earnings measures are followed by his...

Improved Wi-Fi AP position estimation using regression based approach

This paper describes the improved Wi-Fi AP position estimation method for building more accurate Wi-Fi AP position DB in complex indoor signal propagation environment. One of our pro Fi AP by using indoor survey for higher Wi-Fi AP position accuracy. Our contribution focuses on the Wi-Fi AP position estimation method. In previous works, there were several methods for Wi-Fi AP position estimatio...

`1 Regression using Lewis Weights Preconditioning

We consider the `1 minimization problem minx ‖Ax − b‖1 in the overconstrained case, commonly known as the Least Absolute Deviations problem, where there are far more constraints than variables. More specifically, we have A ∈ Rn×d for n d. Many important combinatorial problems, such as minimum cut and shortest path, can be formulated as `1 regression problems [CMMP13]. We follow the general para...

Median regression using inverse censoring weights

We implement semiparametric random censorship model aided inference for censored median regression models. This is based on the idea that, when the censoring is specified by a common distribution, a semiparametric survival function estimator acts as an improved weight in the so-called inverse censoring weighted estimating function. We show that the proposed method will always produce estimates ...

Multiples Valuation and Abnormal Returns