We consider a sovereign wealth fund that invests broadly in the international financial markets. The influx to the fund has stopped. We adopt the life cycle model and demonstrate that the optimal spending rate from the fund is significantly less than the fund's expected real rate of return. The...

This study investigates the impact of terrorism on financial markets, focusing specifically on Turkey's sovereign Credit Default Swap (CDS) premiums from 2011 to 2017 - period characterized by frequent and diverse terrorist activities. Employing an EGARCH model with dummy variables for various...

Standard pay-as-you-go pension system is facing long-term and short-term sustainability challenges in several countries. Possible replacement of standard pension system might be in a form of private pension savings. Private pension savings are meaningful only if they provide sufficiently high...

Polish government introduced crucial changes concerning conditions of the pension funds functioning in the years 2011-2014. This article focuses on explaining the impact of these political decisions on efficiency of investment fund market in Poland. Therefore, the article aims (1) to find out if...

Growth and value are popular terms in the lexicon of finance. For many years, scholars and investment professionals have claimed that value strategies outperform the growth ones, even in major market declines. However, since the early 2010's, this seems to no longer hold, as growth strategies...

A series of crises triggered over a decade may bring global recession, which may impact millions of investors, including countries teetering on the brink due to forex reserve shortages; this study addresses the significant financial event of a small nation declaring bankruptcy. Such events can...

We evaluate whether machine learning methods can better model excess portfolio returns compared to the standard regression-based strategies generally used in the finance and econometric literature. We examine 17 benchmark factor model specifications based on Expected Utility Theory and theory...

This paper studies portfolio optimization through improvements of ex-ante conditional covariance estimates. We use the cross-section of stock returns over a 52-year sample to analyze trading performance by implementing the machine learning algorithm of hierarchical clustering. We find that...

We examine the effects of the North Korea-U.S. summit and related events on the South Korean stock market over the period March 2018 to June 2018. Employing the event study methodology, we estimate sectoral abnormal returns following the events surrounding the summit and conduct several...

Purpose - Nowadays popular algorithmic trading uses many strategies which are algoritmizable and promise profitability. This research assess if it is possible successfully use interest rates sensitivity arbitrage in bond portfolio (also known as convexity arbitrage) in financial praxis. This...