Robo-advisers enable investors to establish an automated rebalancing strategy for a
portfolio usually consisting of stocks and bonds. Since households' portfolios additionally …

Payments and investments are part of consumers' everyday life and vital to society and its
economic and social systems. As the evolution of FinTech has laid the foundation for the …

In this paper, an application of the Bayesian classifier for short-term stock trend prediction is
presented. In order to use Bayesian classifier effectively, we transform the daily stock price …

There is a widespread perception that it is optimal to keep portfolio weights constant over
time, and that the optimal rebalancing frequency is just a question of the transaction cost …

In the absence of transaction costs and the presence of independent returns, a buy-and-hold
strategy theoretically generates higher expected returns than a fixed-weight strategy, where …

This chapter presents a calendar rebalancing approach to portfolios of stocks in the Indian
stock market. Ten important sectors of the Indian economy are first selected. For each of …

Due to the effects of many deterministic and stochastic factors, it has always been a
challenging goal to gain good profits from the stock market. Many methods based on …

The topic of this research study was investment entrance strategies in exchange-traded
funds (ETF) during a bull market. The problem addressed in this study was that most active …

This doctoral thesis applies the Behavioral Portfolio Theory (BPT) of Shefrin/Statman (2000)
on household-level field data from Germany. The aim of the empirical analyses is twofold …

Most of the new investors, who are dominated by millennial investors, do not understand the
basics of the capital market, so they have to suffer losses. Therefore, a strategy for investing …