This research examines the structural properties of the macroscopic model introduced in [AlShelahi and Saigal, 2018]. We present a theoretical analysis of the behavior of the macroscopic variables. In particular, we show that the model exhibits shock-like solutions, providing a new narrative for...

Stock market variance-return or price relations are sometimes negative and sometimes positive. We explain these puzzling findings using a model with two ("bad" and "good") variances. In the model, conditional equity premium depends positively on bad variance and negatively on good variance....

We characterize the response of U.S., German and British stock, bond and foreign exchange markets to real-time U.S. macroeconomic news. Our analysis is based on a unique data set of high-frequency futures returns for each of the markets. We find that news surprises produce conditional mean...

We develop an empirically highly accurate discrete-time daily stochastic volatility model that explicitly distinguishes between the jump and continuous time components of price movements using nonparametric realized variation and Bipower variation measures constructed from high-frequency...

This paper proposes a new information share for price discovery based on Russell's (1999) autoregressive conditional intensity model. While previous studies rely on equally spaced high frequency data, we use the information conveyed by trade intensities to determine a market's contribution to...

Using high-frequency intraday data, we construct, test and model seven new realized volatility estimators for six international equity indices. We detect jumps in these estimators, construct the jump components of volatility and perform various tests on their properties. Then we use the class of...

This paper investigates the integration among sub-sectors within the environmentally friendly stock market and the integration between these sub-sectors and other financial asset classes. Using the recently developed cross-quantilogram framework, we contribute to the literature by quantifying...

In March 2020 the U.S. equity market is suffering large losses. This is primarily due to COVID-19, which probably also caused a drop in the shale oil price. US market indices are fluctuating this month much more than any time in history. In this short note, we are using two high frequency market...

The aim of this paper is to assess the effectiveness and risk in the stock exchange market in Central and Eastern Europe countries (CEE) in view of the largest stock exchanges: NYSE2‑LSE‑HKSE2. The implementation of this objective was based on an analysis of basic stock market indicators and...

This paper studies the return behaviour at National Stock Exchange, India and the Rupee-Dollar exchange rate, using NSE's Nifty as the benchmark for stock returns, while INR-USD rate is used as the benchmark for exchange rate. The daily closing levels of the two benchmarks for a period beginning...