This article empirically analyzes consumer behavior of viewing TV dramas using case-based decision theory. The theory addresses an economic situation with structural ignorance, where states of the world are not naturally given nor simply formulated for a decision-maker. Under this theory,...

This paper investigates the informational content of aggregate prices in the fine arts auction market. A Mixed Data Sampling (MIDAS) modeling approach is proposed to forecast year-end art prices, using higher frequency variables related to the stock and bond markets and to art market sentiment....

Background: Cinema programmes are set in advance (usually with a weekly frequency), which motivates us to investigate the short-term forecasting of attendance. In the literature on the cinema industry, the issue of attendance forecasting has gained less research attention compared to modelling...

Many psychology experiments show that individually judged probabilities of the same event can vary depending on the partition of the state space (a framing effect called partition-dependence). We show that these biases transfer to competitive prediction markets in which multiple informed traders...

We introduce a Nelson-Siegel type interest rate term structure model with the underlying yield factors following autoregressive processes revealing time-varying stochastic volatility. The factor volatilities capture risk inherent to the term structure and are associated with the time-varying...

Following recent advances in the non-parametric realized volatility approach, we separately measure the discontinuous jump part of the quadratic variation process for individual stocks and incorporate it into heterogeneous autoregressive volatility models. We analyze the distributional...

Recently, Diebold and Li (2003) obtained good forecasting results for yield curves in a reparametrized Nelson-Siegel framework. We analyze similar modeling approaches for price curves of variance swaps that serve nowadays as hedging instruments for options on realized variance.We consider the...

Overconfident CEOs are known to overestimate their ability to generate returns, overpay for target firms, and take excessive risks. We find a CEO's overconfidence can also indirectly affect other market participants, specifically analysts who issue earnings forecasts. First, firms with...

Even with the presence of numerous institutional players in the market, there exist a noticeable number of cash group shares which are hardly transacted. To sustain the growth of investors in the market, there is need for assuring easy and quick liquidity to the securities. To serve the same...