This paper presents a simplified single period asset-pricing model that adjusts for illiquidity and tests for the Finnish stock market. The empirical testing for a small yet developed market is motivated by the increased relevance of the illiquidity effect for illiquid assets/markets vastly...

We estimate historical stock returns for Swedish listed companies in a newly constructed data set of daily stock prices. Stock returns exhibit all familiar characteristics. There is little trading in the past, and we examine the effects on return measurement from missing data. Stock selection...

Stock market indices play a central role in portfolio management and academic research. This paper reviews and discusses the main issues in index construction, especially on thinly traded stock markets and in a historical setting with deficiency of information. The main methods to deal with...

In this paper, we explore whether the adaptive markets hypothesis (AMH) describes the efficiency of the Finnish stock market better than the efficient markets hypothesis (EMH) does. Building on this, we also test how small market size and market liberalisation impact the efficiency of the...

We introduce a regularization and blocking estimator for well-conditioned high-dimensional daily covariances using high-frequency data. Using the Barndorff-Nielsen, Hansen, Lunde, and Shephard (2008a) kernel estimator, we estimate the covariance matrix block-wise and regularize it. A data-driven...

We introduce a regularization and blocking estimator for well-conditioned high-dimensional daily covariances using high-frequency data. Using the Barndorff-Nielsen, Hansen, Lunde, and Shephard (2008a) kernel estimator, we estimate the covariance matrix block-wise and regularize it. A data-driven...