Dark pools are equity trading systems that do not publicly display orders. Dark pools offer potential price improvements but do not guarantee execution. Informed traders tend to trade in the same direction, crowd on the heavy side of the market, and face a higher execution risk in the dark pool, relative to uninformed traders. Consequently, exchanges are more attractive to informed traders, and…
We analyze time series of investor expectations of future stock market returns from six data sources between 1963 and 2011. The six measures of expectations are highly positively correlated with each other, as well as with past stock returns and with the level of the stock market. However, investor expectations are strongly negatively correlated with model-based expected returns. The evidence i…
Using a novel data set on correlation swaps, we study the relation between correlation risk, hedge fund characteristics, and their risk-return profile. We find that the ability of hedge funds to create market-neutral returns is often associated with a significant exposure to correlation risk, which helps to explain the large abnormal returns found in previous models. We also estimate a signific…
We develop a novel methodology to infer the amount of capital allocated to quantitative equity arbitrage strategies. Using this methodology, which exploits time-variation in the cross-section of short interest, we document that the amount of capital devoted to value and momentum strategies has grown significantly since the late 1980s. We provide evidence that this increase in capital has result…
We investigate the effect of ambiguity about hedge fund investment strategies on asset prices and aggregate welfare. We model some traders (mutual funds) as facing ambiguity about the equilibrium trading strategies of other traders (hedge funds). This ambiguity limits the ability of mutual funds to infer information from prices and has negative effects on market outcomes. We use this analysis t…
We find that the stock market underreacts to stock-level liquidity shocks: liquidity shocks are not only positively associated with contemporaneous returns, but they also predict future return continuations for up to six months. Long-short portfolios sorted on liquidity shocks generate significant returns of 0.70% to 1.20% per month that are robust across alternative shock measures and after co…
Social media has become a popular venue for individuals to share the results of their own analysis on financial securities. This paper investigates the extent to which investor opinions transmitted through social media predict future stock returns and earnings surprises. We conduct textual analysis of articles published on one of the most popular social media platforms for investors in the Unit…
We study the trading behavior of investors in an entire stock market. Using an account level dataset of all trades on the Istanbul Stock Exchange in 2005, we identify investors with similar trading behavior as linked in an empirical investor network (EIN). Consistent with the theory of information networks, we find that central investors earn higher returns and trade earlier than peripheral inv…
Why do security analysts issue overly positive recommendations? We propose a novel approach to distinguish strategic motives (e.g., generating small-investor purchases and pleasing management) from nonstrategic motives (genuine overoptimism). We argue that nonstrategic distorters tend to issue both positive recommendations and optimistic forecasts, while strategic distorters "speak in two tongu…
Penelitian ini bertujuan untuk menganalisis bagaimana pengaruh efisiensi intellectual capital terhadap performa bank di Indonesia, dengan melihat pengaruh variabel kontrol seperti resiko pinjaman, ukuran bank, dan umur firma. Penelitian ini menggunakan sampel 47 perusahaan perbankan yang terdaftar di Bursa Efek Indonesia pada periode tahun 2019 hingga 2022. Hasil penelitian menunjukkan bahw…
Includes index
Includes bibliographies and index
This research measures the efficiency of waqf funds managed by philanthropic institutions in Indonesia using the Data Envelopment Analysis (DEA) approach over the 2013-2021 period. The unit of analysis consists of nine philanthropic waqf institutions. In the measurement of efficiency using production approach, the study takes human resource expenses, operational costs and fixed assets as inputs…
The efficiency level of the banking industry is the most important indicator to identify the soundness of banking system. This paper use non parametric frontier approach, DEA, to analyze the Islamic bank efficiency in ASEAN. We use price of deposit from customers, deposits and placements of banks, labor, and others operational expenditures as control variabel, and using financing, deposits and …
Includes bibliographies and index
This study aims to measure and compare the intertemporal efficiency of Islamic banks in Indonesia and Malaysia using data envelopment analysis (DEA) together with window (intertemporal) analysis for the period 2012–2018 and applying an intermediation approach. Window analysis is used to indicate the stability of efficiency over the study period. The findings show that the intertemporal techni…
A strategy that selects stocks based on their historical same-calendar-month returns earns an average return of 13% per year. We document similar return seasonalities in anomalies, commodities, and international stock market indices, as well as at the daily frequency. The seasonalities overwhelm unconditional differences in expected returns. The correlations between different seasonality strate…
We use a new dataset on Islamic banks to link regulation and bank efficiency. Specifically, we examine how bank efficiency is influenced by: (i) bank regulation, (ii) institutional variables, (iii) economic freedom, and (iv) Shariah law parameters. Our hypothesis attempts to prove that better regulation will produce a higher level of efficiency. We will also try to prove that the Shariah law pa…
This study examines whether COVID-19 has affected the stability of Islamic banking efficiency in Indonesia and Malaysia using the Data Envelopment Window Analysis (DEWA) using data from 2017 to 2022. The findings indicate that Islamic banks in Malaysia exhibit a higher level of efficiency and stability as compared to their counterparts in Indonesia across all three efficiency measures, namely T…
This paper examines the relation between fintech-based inclusive finance and bank efficiency using annual unbalanced data of 318 banks from 7 dual-banking countries over the period of 2011 to 2020. It measures bank efficiency using the data envelopment analysis (DEA) and then applies the Simar-Wilson bootstrapping regression to measure the influence of fintech-based financial inclusion on bank …