Using individual firm data, this study analyzes the credit channel in Austria. The estimation is based on an accelerator specification of investment demand augmented by the liquidity ratio and a firm specific user cost of capital. The results show that there is a credit channel in Austria...

This paper investigates whether financial obstacles, and, more generally, financial pressure faced by firms, significantly affect firm growth. For this purpose, we use an unbalanced panel of about 1,000,000 observations for around 155,000 non-financial corporations in five euro area countries....

While many theories of accounts payable and receivable are related to firm performance, there has not been a direct test whether firms actively use them to manage their growth. We argue that it is not just the accounts payable but also the accounts receivable that matter. While the former help...

While many theories of accounts payable and receivable are related to firm performance, there has not been a direct test whether firms actively use them to manage their growth. We argue that it is not just the accounts payable but also the accounts receivable that matter. While the former help...

This paper investigates whether financial obstacles, and, more generally, financial pressure faced by firms, significantly affect firm growth. For this purpose, we use an unbalanced panel of about 1,000,000 observations for around 155,000 non-financial corporations in five euro area countries....

In this study we combine clustering techniques with a moving window algorithm in order to filter financial market data outliers. We apply the algorithm to a set of financial market data which consists of 25 series selected from a larger dataset using a cluster analysis technique taking into...

We study the role of high-frequency trading in a dynamic limit order market. Being fast is valuable because it enables traders to revise outstanding limit orders upon news arrivals when interacting with slow market participants. On the one hand, the existence of fast traders can help to reduce...

We propose a new model of trading in OTC markets. Dealers accumulate inventories by trading with end-investors and trade among each other to reduce their inventory holding costs. Core dealers use a more efficient trading technology than peripheral dealers, who are heterogeneously connected to...

We study the role of high-frequency trading in a dynamic limit order market. Being fast is valuable because it enables traders to revise outstanding limit orders upon news arrivals when interacting with slow market participants. On the one hand, the existence of fast traders can help to reduce...

In this study we combine clustering techniques with a moving window algorithm in order to filter financial market data outliers. We apply the algorithm to a set of financial market data which consists of 25 series selected from a larger dataset using a cluster analysis technique taking into...