In this paper, we study the relationship between futures and spot prices in the European carbon markets from the cost-of-carry hypothesis. The aim is to investigate the extent of efficiency market. The three main European markets (BlueNext, EEX and ECX) are analyzed during Phase II, covering the...

In this paper, we attempt to examine the speculative efficiency hypothesis on CO2 emission allowance prices negotiated on Bluenext, by testing the relationship between futures and spot prices from the Fama (1970) framework. This approach is based on the joint hypothesis of no risk premium and...

This study examines the martingale difference hypothesis (MDH) for the market of carbon emission allowances within the European Union Emission Trading Scheme (EU ETS) during the Phase I and the Phase II, using both daily and weekly data over the period 2005--2009. The weak-form efficient market...

In this paper, we attempt to examine the speculative efficiency hypothesis on CO2 emission allowance prices negotiated on Bluenext, by testing the rela- tionship between futures and spot prices from the Fama (1970) framework. This approach is based on the joint hypothesis of no risk premium and...

Precious metals (gold, silver, and platinum) have become an important part of investment portfolios for individuals as well as for institutions. A key question is whether investors should actively trade these metals to time the market or whether they should take a buy-and-hold strategy. This...

This paper analyzes the degree of return predictability (or weak-form informational efficiency) of Dow Jones Islamic and conventional size and sector-indices using the data from 1996 to 2013. Employing the automatic portmanteau and variance ratio tests for the martingale difference hypothesis of...

We investigate whether stock returns of international markets are predictable from a range of fundamentals including key financial ratios (dividend-price ratio, dividend-yield, earnings-price ratio, dividend-payout ratio), technical indicators (price pressure, change in volume), and short-term...

This paper analyzes the forecasting benefits of dimension reducing of predictors prior to estimating random forest (RF) model for macroeconomic time series in high-dimensional data. For that, we propose sparse RF (sRF) models based on a two-step procedure where we consider three classes of...