This study provides an intraday analysis of Exchange Traded Fund markets. We investigate trading implications surrounding the open and close, and compare price discovery and liquidity in a multi-market trading framework. In addition, we test whether the difference of ETFs with regard to market maker inventory management causes intraday spread patterns to differ from those of the underlying secu...

The academic performance of 419 undergraduate students in an individual financial management class was evaluated in light of their learning style, demographic background, academic history and time allocation. Academic history and time use variables proved to be the only significant predictors of grades in the course. Student learning style, as measured by Kolb’s Learning Style Inventory, was no...

Inventory positions of two risk averse market makers are introduced into a Kyle (1985) type batch trading model and the effects are analyzed. An equilibrium is defined with participation constraint and incentive compatibility and it is characterized as γ-coalitional equilibrium. At the equilibrium the two market makers share the risk of clearing orders so that the aggregate pricing schedule bec...

Market makers in over-the-counter markets often make offsetting trades and have significant market power. We develop a market making model that captures this market feature as well as other important characteristics such as information asymmetry and inventory risk. In contrast to the existing literature, a market maker in our model can optimally shift some trade with the informed to other discr...

A general framework is described specifying how boundedly rational decision makers generate their choices. Starting from a “Master Module” which keeps an inventory of previously successful and unsuccessful routines several submodules can be called forth which either allow one to adjust behavior (by “Learning Module” and “Adaptation Procedure”) or to generate new decision routines (by applying “...

conventionally, regression and time series analyses have been employed in modeling water demand forecasts. in recent years, the relatively new technique of neural networks (nns) has been proposed as an efficient tool for modeling and forecasting. the objective of this study is to investigate the relatively new technique of gmdh – type neural networks for the use of forecasting long – term urban...

How do firms finance large cash flow requirements? We examine this in the context of firms that are subject to substantial cash flow requirements. We find that trade credit, inventory and cash stock reductions are all important in the short term for mild requirements. Larger and longer cash flow shortages give rise to more equity than debt finance. After the shocks, firms gradually adjust their...

This study uses data from the British Household Panel Study (BHPS) and employs all basic traits from the Five Factor Personality Inventory – openness to experience, conscientiousness, extraversion, agreeableness and neuroticism – to examine the relationship between individuals’ personality and wages in the UK. The results indicate a negative linear relationship between wages and agreeableness a...

5 It is shown that accounting for technology variations, across households 6 and periods, is important to obtain theoretically consistent estimates of the 7 demand for currency. An inventory model is presented where the withdrawal 8 technology is explicitly modeled. Both the level and the interest rate elasticity 9 of cash holdings depend on the withdrawal technology available to households. 10...