Search results for "stock"
showing 10 items of 878 documents
Interdependence between Green Financial Instruments and Major Conventional Assets: A Wavelet-Based Network Analysis
2021
This paper examines the interdependence between green financial instruments, represented by green bonds and green stocks, and a set of major conventional assets, such as Treasury, investment-grade and high-yield corporate bonds, general stocks, crude oil, and gold. To that end, a novel wavelet-based network approach that allows for assessing the degree of interconnection between green financial products and traditional asset classes across different investment horizons is applied. The empirical results show that green bonds are tightly linked to Treasury and investment-grade corporate bonds, while green stocks are strongly tied to general stocks, regardless of the specific time period and i…
Trading Nokia: The roles of the Helsinki vs the New York stock exchanges
2004
We use the Autoregressive Conditional Duration (ACD) framework of Engle and Russell (1998) to study the effect of trading volume on price duration (ie the time lapse between consecutive price changes) of a stock listed both in the domestic and the foreign market. As a case study we use the example of Nokia's share, which is actively traded both in the Helsinki Stock Exchange and the New York Stock Exchange (NYSE). We find asymmetry in the volume-price duration relationship between the two markets. In the NYSE the negative relationship is much stronger and exists both during and outside common trading hours. Outside common trading hours no such relationship is significant in Helsinki. Based …
Asymmetries and tails in stock index returns: are their distributions really asymmetric?
2004
Abstract This paper examines the symmetry of the distribution of four major stock index returns: Standard and Poor's 500, Dow-Jones Industrial, Nikkei 225, and Financial Times 100, from the stock markets of New York, Tokyo and London. The symmetry of the whole distributions, of the different intervals, and of the tails, is analysed. Clear, strong asymmetries are not found. In particular, for different stock indexes and for different sample periods, the probabilities of occurrence of extreme downward and upward movements do not seem to be different.
On the hidden side of liquidity
2012
This paper deals with the informativeness of iceberg orders, also known as hidden limit orders (HLOs). Namely, we analyze how the market reacts when the presence of hidden volume in the limit order book is revealed by the trading process. We use high frequency book and transaction data from the Spanish Stock Exchange, including a large sample of executed HLOs. We show that just when hidden volume is detected, traders on the opposite side of the market become more aggressive, exploiting the opportunity to consume more than expected at the best quotes. However, neither illiquidity nor volatility increases in the short-term. Furthermore, the detection of hidden volume has no relevant price imp…
Robustness of the risk–return relationship in the U.S. stock market
2008
Abstract Using GARCH-in-Mean models, we study the robustness of the risk–return relationship in monthly U.S. stock market returns (1928:1–2004:12) with respect to the specification of the conditional mean equation. The issue is important because in this commonly used framework, unnecessarily including an intercept is known to distort conclusions. The existence of the relationship is relatively robust, but its strength depends on the prior belief concerning the intercept. The latter applies in particular to the first half of the sample, where also the coefficient of the relative risk aversion is smaller and the equity premium greater than in the latter half.
A Comprehensive Look at the Real-Life Performance of Moving Average Trading Strategies
2015
Despite the enormous current interest in market timing and a series of publications in academic journals, there is still lack of comprehensive research on the evaluation of the profitability of trading rules using methods that are free from the data-snooping bias. In this paper we utilize the longest historical dataset that spans 155 years and extend previous studies on the performance of moving average trading rules in a number of important ways. Among other things, we investigate whether overweighting the recent prices improves the performance of timing rules; whether there is a single optimal lookback period in each trading rule; and how accurately the trading rules identify the bullish …
Property prices index numbers and derived indices
2014
Purpose – A useful instrument to understand and examine the inner workings of the property trade is devising index numbers of property prices based on historical sequences of market prices. The present work aims at the definition of index numbers of property prices, proposing an innovative methodology compared with what usually recurs in literature. The purpose of this paper is to discuss these issues. Design/methodology/approach – The analysis proposed, based on the mechanisms of formation of stock indices, investigates the analogies between stock and property information, according to the peculiarities of the property trade, leading to a methodology approach, derived from Simple Price In…
Does Methodology Determine the Identification of Stock Split Motivations?: Evidence from Spain
2006
This study investigates the robustness of the results obtained for the possible motivations for firms listed on the Spanish stock market to execute a stock split using different methodologies. Although surveys from executives emphasize the use of stock splits as a way to increase the liquidity of shares, the empirical evidence is not conclusive. Our results, taken from the logit regression, the Kaplan-Meier method, the Cox regression and the automatic interaction detection, all support the hypotheses of signalling and optimal range.
Dynamic Asset Allocation Strategies Based on Unexpected Volatility
2013
In this paper we document that at the aggregate stock market level the unexpected volatility is negatively related to expected future returns and positively related to future volatility. We demonstrate how the predictive ability of unexpected volatility can be utilized in dynamic asset allocation strategies that deliver a substantial improvement in risk-adjusted performance as compared to traditional buy-and-hold strategies. In addition, we demonstrate that active strategies based on unexpected volatility outperform the popular active strategy with volatility target mechanism and have the edge over the widely reputed market timing strategy with 10-month simple moving average rule.
Clusters of Traders in Financial Markets
2020
In this chapter we discuss Aoki’s work on the description of clusters of economic agents acting in a market. Specifically, we briefly discuss his work on the Ewens distribution and its application in a model of stock market with heterogeneous agents. We then review recent empirical analyses on the heterogeneity of financial market participants and make a working hypothesis for an empirical study on the distribution of the number of clusters of market participants in a real stock market monitored with a resolution down to the shadowed identity of market participants.