Prior optimal CUR decomposition and near optimal column reconstruction methods have been established by combining BSS sampling and adaptive sampling. In this paper, we propose a new approach to the optimal CUR decomposition and near optimal column reconstruction by just using leverage score sampling. In our approach, both the BSS sampling and adaptive sampling are not needed. Moreover, our appr...

This paper studies the optimal contracting problem in a general cashow setup, and offers a framework to quantitatively assess the impact of agency problems. A closed form solution is obtained in the square-root mean-reverting cash ow process. In the geometric Brownian cashow setup, we embed the agency problem into Leland (1994), and nd that the debt-overhang problem lowers the optimal leverage....

This paper considers the macroeconomic effects of allowing for nominal debt contracts in the context of a quantitative business cycle model with financial market frictions. In our setting, as in reality, corporations fund themselves by choosing the appropriate mix of nominal defaultable debt and equity securities to issue in every period. Corporate debt is priced fairly taking into account defa...

This paper investigates the impact of asset liquidity on the valuation of corporate securities and the firm’s financing decisions. I show that asset liquidity increases debt capacity only when bond covenants restrict the disposition of assets. By contrast, I demonstrate that, with unsecured debt, greater liquidity increases credit spreads on corporate debt and reduces optimal leverage. The mode...

the latest known source of multicollinearity, a nonorthogonality of two or more explanatory variables in multiple regression models, is high leverage points. Interpreting a fitted regression model may become impossible by the influential impacts of multicollinearity. In this paper, we attempt to investigate the impact of different sample sizes as one of the main causing factors of high leverage...

Robust selection of variables in a linear regression model is investigated. Many variable selection methods are available, but very few methods are designed to avoid sensitivity to vertical outliers aswell as to leverage points. The nonnegative garrotemethod is a powerful variable selection method, developed originally for linear regression but recently successfully extended to more complex reg...

In recent years there has been considerable activity, by business analysts and academics, in developing new approaches to understanding contemporary innovation processes. This has resulted in the emergence of a large number of conceptual alternatives, with many overlapping features. It is the aim of this paper to outline and compare the most popular of these frameworks, and develop a model inco...

This paper investigates the diffusion of system dynamics as research paradigm. It deals with the question whether the diffusion of system dynamics is influenced by network externalities. Assuming the existence of such network externalities the so called penguin and bandwagon effect must be considered regarding the diffusion. Based on a system dynamics model considering network externalities lev...

This paper outlines some research questions in relation to software process improvement. Software process improvement should be a continuous activity where you go through with a set of activities to achieve a higher level of maturity. These activities can be seen as a four step process; information collection and investigation, decision making and planning, implementation, and evaluation. This ...