wanyu/IteraTeR_full_sent huggingface dataset:
Original:  We have also refined our analysis by considering specific subsets of countries and products: according to our analysis, the most statistically significant early-warning signals are provided by the most volatile macrosectors, especially when measured on emerging economies , suggesting the latter as the most sensitive indicators of the WTW health .
Revised:  We have also refined our analysis by considering specific subsets of countries and products: according to our analysis, the most statistically significant early-warning signals are provided by the most volatile macrosectors, especially when measured on developing countries , suggesting the latter as the most sensitive indicators of the WTW health .
Edit intent: clarity
Original:  We have also refined our analysis by considering specific subsets of countries and products: according to our analysis, the most statistically significant early-warning signals are provided by the most volatile macrosectors, especially when measured on emerging economies , suggesting the latter as the most sensitive indicators of the WTW health .
Revised:  We have also refined our analysis by considering specific subsets of countries and products: according to our analysis, the most statistically significant early-warning signals are provided by the most volatile macrosectors, especially when measured on emerging economies , suggesting the emerging economies as being the most sensitive indicators of the WTW health .
Edit intent: clarity
Original:  We have also refined our analysis by considering specific subsets of countries and products: according to our analysis, the most statistically significant early-warning signals are provided by the most volatile macrosectors, especially when measured on emerging economies , suggesting the latter as the most sensitive indicators of the WTW health .
Revised:  We have also refined our analysis by considering specific subsets of countries and products: according to our analysis, the most statistically significant early-warning signals are provided by the most volatile macrosectors, especially when measured on emerging economies , suggesting the latter as the most sensitive ones to the global economic cycles .
Edit intent: clarity
Original:  Market dataof commodities provide evidence of turning pointsfor essential commodities, as well as a yield point for non-essential ones .
Revised:  To compare the model with real empirical data, we study the relations between commodity prices and stock-to-use ratios of a range of commodities such as agricultural products and metals. By introducing an elasticity parameter to mitigate noise and long-term changes in commodities data, we confirm the trend of rising prices, provide evidence for turning points, and indicate yield points for less essential commodities .
Edit intent: meaning-changed
Original:  This  enables us to capture market dynamics at various timescalesand shed light on mechanisms underlying certain market behaviors  such as transitions between bull- and bear markets and the self-similar behavior of price changes.
Revised:  This heterogeneous framework enables us to capture market dynamics at various timescalesand shed light on mechanisms underlying certain market behaviors such as transitions between bull- and bear markets and the self-similar behavior of price changes.
Edit intent: meaning-changed
Original:  This  enables us to capture market dynamics at various timescalesand shed light on mechanisms underlying certain market behaviors  such as transitions between bull- and bear markets and the self-similar behavior of price changes.
Revised:  This enables us to capture dynamics at multiple timescales, expanding the model's applications and improving precision. We study the heterogeneous model theoretically and empirically to highlight essential mechanisms underlying certain market behaviors such as transitions between bull- and bear markets and the self-similar behavior of price changes.
Edit intent: meaning-changed
Original:  We investigate the model and show that the  market is nearly efficient on timescales shorter than one day , adjusting quickly to incoming news, but is inefficient on longer timescales, where news may have a long-lasting nonlinear impact on dynamics  attributable to a feedback mechanism acting over these horizons.
Revised:  Most importantly, we apply this model to show that the market is nearly efficient on timescales shorter than one day , adjusting quickly to incoming news, but is inefficient on longer timescales, where news may have a long-lasting nonlinear impact on dynamics attributable to a feedback mechanism acting over these horizons.
Edit intent: clarity
Original:  We investigate the model and show that the  market is nearly efficient on timescales shorter than one day , adjusting quickly to incoming news, but is inefficient on longer timescales, where news may have a long-lasting nonlinear impact on dynamics  attributable to a feedback mechanism acting over these horizons.
Revised:  We investigate the model and show that the stock market is nearly efficient on timescales shorter than one day , adjusting quickly to incoming news, but is inefficient on longer timescales, where news may have a long-lasting nonlinear impact on dynamics attributable to a feedback mechanism acting over these horizons.
Edit intent: meaning-changed
Original:  We investigate the model and show that the  market is nearly efficient on timescales shorter than one day , adjusting quickly to incoming news, but is inefficient on longer timescales, where news may have a long-lasting nonlinear impact on dynamics  attributable to a feedback mechanism acting over these horizons.
Revised:  We investigate the model and show that the market is nearly efficient on intraday timescales , adjusting quickly to incoming news, but is inefficient on longer timescales, where news may have a long-lasting nonlinear impact on dynamics attributable to a feedback mechanism acting over these horizons.
Edit intent: meaning-changed
Original:  We investigate the model and show that the  market is nearly efficient on timescales shorter than one day , adjusting quickly to incoming news, but is inefficient on longer timescales, where news may have a long-lasting nonlinear impact on dynamics  attributable to a feedback mechanism acting over these horizons.
Revised:  We investigate the model and show that the market is nearly efficient on timescales shorter than one day , adjusting quickly to incoming news, but becomes inefficient on longer timescales, where news may have a long-lasting nonlinear impact on dynamics attributable to a feedback mechanism acting over these horizons.
Edit intent: clarity
Original:  We investigate the model and show that the  market is nearly efficient on timescales shorter than one day , adjusting quickly to incoming news, but is inefficient on longer timescales, where news may have a long-lasting nonlinear impact on dynamics  attributable to a feedback mechanism acting over these horizons.
Revised:  We investigate the model and show that the market is nearly efficient on timescales shorter than one day , adjusting quickly to incoming news, but is inefficient on longer timescales, where news may have a long-lasting nonlinear impact on dynamics , attributable to a feedback mechanism acting over these horizons.
Edit intent: fluency
Original:  Using the model, we design the prototypes of algorithmic strategies that utilize news flow, quantified and measured, as the only input to trade on market return forecasts over multiple horizons, from days to months.
Revised:  Then, using the model, we design the prototypes of algorithmic strategies that utilize news flow, quantified and measured, as the only input to trade on market return forecasts over multiple horizons, from days to months.
Edit intent: fluency
Original:  Within the general framework built on geometric Brownian motions (GBM) , the first-order effect of such a steric constraint would enter a priori in the form of a repulsive entropic force associated with the paths crossing the barrier that are forbidden.
Revised:  Based on the analogy between Brownian motion in finance and physics , the first-order effect of such a steric constraint would enter a priori in the form of a repulsive entropic force associated with the paths crossing the barrier that are forbidden.
Edit intent: meaning-changed
Original:  This effect described by Krugman's model is supported by non-parametric measurements of the conditional drift and volatility from the data. Despite the obvious differences between "brainless" physical Brownian motions and complex financial Brownian motions resulting from the aggregated investments of anticipating agents, we show that ] the two systems can be described with the same mathematics after all.
Revised:  This effect described by Krugman's target zone model ] the two systems can be described with the same mathematics after all.
Edit intent: clarity
Original:  Despite the obvious differences between "brainless" physical Brownian motions and complex financial Brownian motions resulting from the aggregated investments of anticipating agents, we show that ] the two systems can be described with the same mathematics after all.
Revised:  Despite the obvious differences between "brainless" physical Brownian motions and complex financial Brownian motions resulting from the aggregated investments of anticipating agents, we show that P.R. Krugman. The Quarterly Journal of Economics, 106(3):669-682, 1991] the two systems can be described with the same mathematics after all.
Edit intent: meaning-changed
Original:  Despite the obvious differences between "brainless" physical Brownian motions and complex financial Brownian motions resulting from the aggregated investments of anticipating agents, we show that ] the two systems can be described with the same mathematics after all.
Revised:  Despite the obvious differences between "brainless" physical Brownian motions and complex financial Brownian motions resulting from the aggregated investments of anticipating agents, we show that ]. Motivated by the insights from this economical model, we revise the initial economics-physics analogy and show that, within the context of hindered diffusion, the two systems can be described with the same mathematics after all.
Edit intent: meaning-changed
Original: We study the problem of super-replication of game options in general stochastic volatility models which include e. g. the Heston model, the Hull-White model and the Scott model. For simplicity, we consider models with one risky asset. We show that the super-replication price is the cheapest cost of a trivial super-replication strategy.
Revised: In this work we introduce the notion of extremely incomplete markets. We prove that for these markets the super-replication price is the cheapest cost of a trivial super-replication strategy.
Edit intent: meaning-changed
Original:  We show that the super-replication price is the cheapest cost of a trivial super-replication strategy. Furthermore, we calculate explicitly the super-replication price and the corresponding optimal hedge.
Revised:  We show that the super-replication price is the cheapest cost of a trivial super-replication price. Namely, the knowledge of the model does not reduce the super-replication price and the corresponding optimal hedge.
Edit intent: meaning-changed
Original: Studying Binomial as well as Normal return dynamics in discrete time, we explain how , in zero-growth environments, trading strategies can be found which generate exponential growthof wealth. We include numerical results for simulated and real world processes confirming the observed phenomena while also highlighting implicit risks.
Revised: Studying Binomial as well as Normal return dynamics in discrete time, we show how excess volatility can be traded to create growth. We test our results on real world data to confirm the observed model phenomena while also highlighting implicit risks.
Edit intent: clarity
Original: Do judicial decisions affect the securities markets in discernible and perhaps predictable ways? In other words, is there "law on the market" (LOTM)? This is a question that has been raised by commentators, but answered by very few in a systematic and financially rigorous manner. Using intraday data and a multiday event window, this large scale event study seeks to determine the existence, frequency and magnitude of equity market impacts flowing from Supreme Court decisions.
Revised: What happens when the Supreme Court of the United States decides a case impacting one or more publicly-traded firms? While many have observed anecdotal evidence linking decisions or oral arguments to abnormal stock returns, few have rigorously or systematically investigated the behavior of equities around Supreme Court actions. In this research, we present the first comprehensive, longitudinal study on the topic, spanning over 15 years and hundreds of cases and firms. Using both intra- and interday data around decisions and oral arguments, we evaluate the frequency and magnitude of equity market impacts flowing from Supreme Court decisions.
Edit intent: clarity
Original:  Using intraday data and a multiday event window, this large scale event study seeks to determine the existence, frequency and magnitude of equity market impacts flowing from Supreme Court decisions. We demonstrate that , while certainly not present in every case, "law on the market" events are fairly common. Across all cases decided by the Supreme Court of the United States between the 1999-2013 terms, we identify 79 cases where the share price of one or more publicly traded company moved in direct response to a Supreme Court decision.
Revised:  Using intraday data and a multiday event window, this large scale event study seeks to determine the existence, frequency and magnitude of statistically-significant abnormal return events after Supreme Court action. On a per-term basis, we find 5.3 cases and 7.8 stocks that exhibit abnormal returns after decision. In total, across the cases we examined, we find 79 cases where the share price of one or more publicly traded company moved in direct response to a Supreme Court decision.
Edit intent: meaning-changed
Original:  Across all cases decided by the Supreme Court of the United States between the 1999-2013 terms, we identify 79 cases where the share price of one or more publicly traded company moved in direct response to a Supreme Court decision. In the aggregate, over fifteen years, Supreme Court decisions were responsible for more than 140 billion dollars in absolute changes in wealth.
Revised:  Across all cases decided by the Supreme Court of the United States between the 1999-2013 terms, we identify 79 out of the 211 cases (37\%) exhibit an average abnormal return of 4.4\% over a two-session window with an average |t|-statistic of 2.9. Finally, we observe that abnormal returns following Supreme Court decisions were responsible for more than 140 billion dollars in absolute changes in wealth.
Edit intent: meaning-changed
Original:  In the aggregate, over fifteen years, Supreme Court decisions were responsible for more than 140 billion dollars in absolute changes in wealth. Our analysis not only contributes to our understanding of the political economy of judicial decision making, but also links to the broader set of research exploring the performance in financial markets using event study methods. We conclude by exploring the informational efficiency of law as a market by highlighting the speed at which information from Supreme Court decisions is assimilated by the market. Relatively speaking, LOTM events have historically exhibited slow rates of information incorporation for affected securities. This implies a market ripe for arbitrage where an event-based trading strategy could be successful .
Revised:  In the aggregate, over fifteen years, Supreme Court decisions materialize over the span of hours and days, not minutes, yielding strong implications for market efficiency in this context. While we cannot causally separate substantive legal impact from mere revision of beliefs, we do find strong evidence that there is indeed a "law on the market" effect as measured by the frequency of abnormal return events, and that these abnormal returns are not immediately incorporated into prices .
Edit intent: clarity
Original:   Following the Blomvall and Lindberg (2002) interior point model, we set up a stochastic multiperiod optimization procedure by means of a "bushy" recombining tree that provides fast computational results.
Revised:  While currently the state-of-the-art of the commercial software in the industry implements mainly linear models, we would like to introduce risk aversion and a generic utility function. At the same time, we aim to develop and implement a computational efficient algorithm, which is not affected by the curse of dimensionality and does not utilize subjective heuristics to prevent it. For the short term power market we propose a simultaneous solution for both dispatch and bidding problems. Following the Blomvall and Lindberg (2002) interior point model, we set up a stochastic multiperiod optimization procedure by means of a "bushy" recombining tree that provides fast computational results.
Edit intent: meaning-changed
Original:  Although there appeared a large amount of literature to deal with a so-called multi-curve framework, a complete picture for a multi-currency setup with currency funding spreads, which are necessary to explain non-zero cross currency basis , can be rarely found since our initial attempts 9, 10, 11 . This note gives an extension of these works regarding a general framework of interest rates for a fully collateralized market.
Revised:  Although there appeared vast literature on a so-called multi-curve framework, a complete picture for a multi-currency setup with currency funding spreads, which are necessary to explain non-zero cross currency basis , can be rarely found since our initial attempts 9, 10, 11 . This note gives an extension of these works regarding a general framework of interest rates for a fully collateralized market.
Edit intent: clarity
Original:  Although there appeared a large amount of literature to deal with a so-called multi-curve framework, a complete picture for a multi-currency setup with currency funding spreads, which are necessary to explain non-zero cross currency basis , can be rarely found since our initial attempts 9, 10, 11 . This note gives an extension of these works regarding a general framework of interest rates for a fully collateralized market.
Revised:  Although there appeared a large amount of literature to deal with a so-called multi-curve framework, a complete picture of a multi-currency setup with currency funding spreads, which are necessary to explain non-zero cross currency basis , can be rarely found since our initial attempts 9, 10, 11 . This note gives an extension of these works regarding a general framework of interest rates for a fully collateralized market.
Edit intent: fluency
Original:  Although there appeared a large amount of literature to deal with a so-called multi-curve framework, a complete picture for a multi-currency setup with currency funding spreads, which are necessary to explain non-zero cross currency basis , can be rarely found since our initial attempts 9, 10, 11 . This note gives an extension of these works regarding a general framework of interest rates for a fully collateralized market.
Revised:  Although there appeared a large amount of literature to deal with a so-called multi-curve framework, a complete picture for a multi-currency setup with cross-currency basis can be rarely found since our initial attempts 9, 10, 11 . This note gives an extension of these works regarding a general framework of interest rates for a fully collateralized market.
Edit intent: coherence
Original:  Although there appeared a large amount of literature to deal with a so-called multi-curve framework, a complete picture for a multi-currency setup with currency funding spreads, which are necessary to explain non-zero cross currency basis , can be rarely found since our initial attempts 9, 10, 11 . This note gives an extension of these works regarding a general framework of interest rates for a fully collateralized market.
Revised:  Although there appeared a large amount of literature to deal with a so-called multi-curve framework, a complete picture for a multi-currency setup with currency funding spreads, which are necessary to explain non-zero cross currency basis , can be rarely found since our initial attempts . This note gives an extension of these works regarding a general framework of interest rates for a fully collateralized market.
Edit intent: coherence
Original:  Although there appeared a large amount of literature to deal with a so-called multi-curve framework, a complete picture for a multi-currency setup with currency funding spreads, which are necessary to explain non-zero cross currency basis , can be rarely found since our initial attempts 9, 10, 11 . This note gives an extension of these works regarding a general framework of interest rates for a fully collateralized market.
Revised:  Although there appeared a large amount of literature to deal with a so-called multi-curve framework, a complete picture for a multi-currency setup with currency funding spreads, which are necessary to explain non-zero cross currency basis , can be rarely found since our initial attempts 9, 10, 11 . This work gives its extension regarding a general framework of interest rates for a fully collateralized market.
Edit intent: clarity
Original:  Although there appeared a large amount of literature to deal with a so-called multi-curve framework, a complete picture for a multi-currency setup with currency funding spreads, which are necessary to explain non-zero cross currency basis , can be rarely found since our initial attempts 9, 10, 11 . This note gives an extension of these works regarding a general framework of interest rates for a fully collateralized market.
Revised:  Although there appeared a large amount of literature to deal with a so-called multi-curve framework, a complete picture for a multi-currency setup with currency funding spreads, which are necessary to explain non-zero cross currency basis , can be rarely found since our initial attempts 9, 10, 11 . This note gives an extension of these works regarding a general framework of interest rates in a fully collateralized market.
Edit intent: fluency
Original:  We provide a new formulation of the currency funding spread which is more suitable in the presence of non-zero correlation to the collateral rates. In particular, the last half of the paper is dedicated to develop a discretization of the HJM framework including stochastic collateral rates, LIBORs, foreign exchange rates as well as currency funding spreads with a fixed tenor structure, which makes it readily implementable as a traditional Market Model of interest rates .
Revised:  We provide a new formulation of the currency funding spread which is better suited for the general dependence. In the last half of the paper is dedicated to develop a discretization of the HJM framework including stochastic collateral rates, LIBORs, foreign exchange rates as well as currency funding spreads with a fixed tenor structure, which makes it readily implementable as a traditional Market Model of interest rates .
Edit intent: clarity
Original:  In particular, the last half of the paper is dedicated to develop a discretization of the HJM framework including stochastic collateral rates, LIBORs, foreign exchange rates as well as currency funding spreads with a fixed tenor structure, which makes it readily implementable as a traditional Market Model of interest rates .
Revised:  In particular, the last half , it develops a discretization of the HJM framework including stochastic collateral rates, LIBORs, foreign exchange rates as well as currency funding spreads with a fixed tenor structure, which makes it readily implementable as a traditional Market Model of interest rates .
Edit intent: clarity