wanyu/IteraTeR_full_sent huggingface dataset:
Original: In this paper quasi-closed-form solutions are derived for the price of equity and VIX derivatives under the assumption that the underlying follows a 3/2 process with jumps in the index. The newly-found formulae allow for an empirical analysis to be performed. In the case of the pure-diffusion 3/2 model , the dynamics are rich enough to capture the observed upward-sloping implied-volatility skew in VIX options.
Revised: The paper demonstrates that a pure-diffusion 3/2 model , the dynamics are rich enough to capture the observed upward-sloping implied-volatility skew in VIX options.
Edit intent: coherence
Original:  We find that the 3/2 plus jumps model is more parsimonious than competing models from its class;
Revised:  The pure-diffusion model, however, struggles to reproduce the smile in the implied volatilities of short-term index options. One remedy to this problem is to augment the model by introducing jumps in the index. The resulting 3/2 plus jumps model is more parsimonious than competing models from its class;
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Original:  We find that the 3/2 plus jumps model is more parsimonious than competing models from its class; it is able to accurately capture the joint dynamics of equity and VIX derivatives, without sacrificing analytic tractability.
Revised:  We find that the 3/2 plus jumps model turns out to be as tractable as its pure-diffusion counterpart when it comes to pricing equity, realized variance and VIX derivatives, without sacrificing analytic tractability.
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Original:  it is able to accurately capture the joint dynamics of equity and VIX derivatives, without sacrificing analytic tractability. The model produces a good short-term fit to the implied volatility of index options due to the richer dynamics, while retaining the analytic tractability of its pure-diffusion counterpart .
Revised:  it is able to accurately capture the joint dynamics of equity and VIX derivatives, but accurately captures the smile in implied volatilities of short-term index options .
Edit intent: clarity
Original: In a recent paper it was shown that, for chemical reaction networks possessing a subtle structural property called concordance, dynamical behavior of a very circumscribed (and largely stable) kind is enforced, so long as the kinetics lies within the very broad and natural class of weakly monotonic kinetics .
Revised: In a recent paper it was shown that, for chemical reaction networks possessing a subtle structural property called concordance, dynamical behavior of a very circumscribed (and largely stable) kind is enforced, so long as the kinetics lies within the very broad and natural weakly monotonic class .
Edit intent: clarity
Original:  Although concordance of a reaction network can be decided by readily available computational means, we show here that, when a nondegenerate network's Species Reaction Graph satisfies certain mild conditions, concordance and its dynamical consequences are ensured.
Revised:  Although concordance of a reaction network can be decided by readily available computational means, we show here that, when a nondegenerate network's Species-Reaction Graph satisfies certain mild conditions, concordance and its dynamical consequences are ensured.
Edit intent: fluency
Original:  From a theoretical viewpoint it states that the exclusion (presence) of closed reactions loops makes possible (impossible) the definition of a thermodynamic potential and vice versa.
Revised:  From a theoretical viewpoint it is equivalent to the Clausius formulation of the second law for the out of equilibrium steady states of chemical networks, i.e. it states that the exclusion (presence) of closed reactions loops makes possible (impossible) the definition of a thermodynamic potential and vice versa.
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Original:  Given our diagnostic of a bubble , trading strategies should be tuned to capture the sentiments and herding spirits associated with social networks, while minimizing the impact of standard fundamental factors .
Revised:  Given our diagnostic of a bubble for Zynga and how this herding / bubbly sentiment can be expected to play together with two important coming events (the quarterly financial result announcement around April 26th, 2012 followed by the end of a first lock-up period around April 30th, 2012). On the long term, our analysis indicates that Zynga's price should decrease significantly .
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Original:  In our DNA model, a single nucleotide  is represented by a single interaction site , and complementary sites can hybridize reversibly . Along with the dynamic hybridization bonds, angular and dihedral bonds are dynamically introduced and removed to model the collective properties of double helix structure on the DNA zippering dynamics.
Revised:  In our DNA model, a single nucleotide is represented by a single interaction site . Complementary sites can reversibly hybridize and dehybridize during a simulation. This bond dynamics induces a dynamics of the angular and dihedral bonds are dynamically introduced and removed to model the collective properties of double helix structure on the DNA zippering dynamics.
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Original:  A bending instability of an initially straight filament induces curvatures in the distribution of stresslets, thus producing a net hydrodynamic flow in which the filament propels autonomously. Depending on the ratio of stresslet strength to elasticity, the linear instability can develop into unsteady states with large-amplitude non-linear deformations, where the filament conformation and the center of mass velocity fluctuate frequently.
Revised:  A bending instability of an initially straight filament spontaneously breaks flow symmetry and leads to autonomous filament motion which, depending on conformational symmetry can be translational or rotational. At high ratios of stresslet strength to elasticity, the linear instability can develop into unsteady states with large-amplitude non-linear deformations, where the filament conformation and the center of mass velocity fluctuate frequently.
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Original:  Depending on the ratio of stresslet strength to elasticity, the linear instability can develop into unsteady states with large-amplitude non-linear deformations, where the filament conformation and the center of mass velocity fluctuate frequently. In planar flows, these unsteady states finally decay into steady states where the filament has constant translational or rotational motion .
Revised:  Depending on the ratio of stresslet strength to elasticity, the linear instability develops into non-linear fluctuating states with large amplitude deformations. The dynamics of these states can be qualitatively understood as a superposition of translational and rotational motion associated with filament conformational modes of opposite symmetry .
Edit intent: clarity
Original:  For the decomposition, we use jump wavelet two scale realized volatility estimator (JWTSRV) of Barunik and Vacha (2012). While the main advantage of our time-frequency estimator is that it provides us with realized volatility measure robust to noise as well as with consistent estimate of jumps, it also allows to decompose volatility into the several investment horizons  .
Revised:  For the decomposition, we use jump wavelet two scale realized volatility estimator (JWTSRV) , we first decompose the returns volatility into several investment horizons .
Edit intent: coherence
Original:  While the main advantage of our time-frequency estimator is that it provides us with realized volatility measure robust to noise as well as with consistent estimate of jumps, it also allows to decompose volatility into the several investment horizons  .
Revised:  While the main advantage of our time-frequency estimator is that it provides us with realized volatility measure robust to noise as well as with consistent estimate of jumps, it also allows to decompose volatility into the several investment horizons and jumps and then utilise this decomposition in a newly proposed Realized Jump-GARCH and Realized Wavelet-Jump GARCH models .
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Original:  When JWTSRV estimator is used, model produces significantly best forecasts . We also utilize jumps and build Realized Jump-GARCH model. Utilizing the decomposition obtained by our estimator, we finally build Realized Wavelet-Jump GARCH model, which uses estimated jumps as well as volatility at several investment horizons .
Revised:  When JWTSRV estimator is used, model produces significantly best forecasts .
Edit intent: coherence
Original: In this paper , we propose a forecasting model for volatility based on its decomposition to several investment horizons and jumps .
Revised: In this paper , we propose a forecasting model based on Realized GARCH combined with time-frequency decomposed volatility, we attempt to study the influence of intra-day investment horizons on daily volatility forecasts. The decomposition of volatility into several investment horizons and jumps .
Edit intent: meaning-changed
Original: In this paper , we propose a forecasting model for volatility based on its decomposition to several investment horizons and jumps . As a forecasting tool, we use Realized GARCH framework which models jointly returns and realized measures of volatility. Using jump wavelet two scale realized volatility estimator (JWTSRV) , we first decompose the returns volatility into several investment horizons and jumps and then utilise this decomposition in a newly proposed Realized Jump-GARCH and Realized Wavelet-Jump GARCH models.
Revised: In this paper , we propose a forecasting model for volatility based on its decomposition to several investment horizons and jumps is possible due to a recently proposed jump wavelet two scale realized volatility estimator (JWTSRV) , we first decompose the returns volatility into several investment horizons and jumps and then utilise this decomposition in a newly proposed Realized Jump-GARCH and Realized Wavelet-Jump GARCH models.
Edit intent: clarity
Original:  Using jump wavelet two scale realized volatility estimator (JWTSRV) , we first decompose the returns volatility into several investment horizons and jumps and then utilise this decomposition in a newly proposed Realized Jump-GARCH and Realized Wavelet-Jump GARCH models. On currency futures data covering the period of recent financial crisis  we moreover compare the forecasts from Realized GARCH model using several additional realized volatility measures.
Revised:  Using jump wavelet two scale realized volatility estimator (JWTSRV) . On exchange rate futures data covering the period of recent financial crisis we moreover compare the forecasts from Realized GARCH model using several additional realized volatility measures.
Edit intent: clarity
Original:  Namely, we use the realized volatility, bipower variation, two-scale realized volatility, realized kernel and jump wavelet two scale realized volatility. We find that in-sample as well as out-of-sample performance of the model significantly differs based on the realized measure used.
Revised:  Our results show that inclusion of jumps and realized measures robust to noise improves forecasting ability of the model significantly differs based on the realized measure used.
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Original:  We find that in-sample as well as out-of-sample performance of the model significantly differs based on the realized measure used. When JWTSRV estimator is used, model produces significantly best forecasts. Our Realized Wavelet-Jump GARCH model proves to further improve the volatility forecasts. We conclude that realized volatility measurement in the time-frequency domain and inclusion of jumps improves the volatility forecasting considerably .
Revised:  We find that in-sample as well as out-of-sample performance of the model considerably. Thus for a forecaster, it is crucial to use proper high frequency measure. An interesting insight into the volatility process is also provided by its decomposition. We find that most of the information for future volatility comes from high frequency part of the spectra representing very short investment horizons .
Edit intent: coherence
Original: This paper investigates how the forecasts of volatility vary with different high frequency measures. In addition, using a forecasting model based on Realized GARCH combined with time-frequency decomposed volatility, we attempt to study the influence of intra-day investment horizons on daily volatility forecasts.
Revised: This paper proposes an enhanced approach to modeling and forecasting volatility using high frequency data. Using a forecasting model based on Realized GARCH combined with time-frequency decomposed volatility, we attempt to study the influence of intra-day investment horizons on daily volatility forecasts.
Edit intent: clarity
Original:  In addition, using a forecasting model based on Realized GARCH combined with time-frequency decomposed volatility, we attempt to study the influence of intra-day investment horizons on daily volatility forecasts.
Revised:  In addition, using a forecasting model based on Realized GARCH with multiple time-frequency decomposed volatility, we attempt to study the influence of intra-day investment horizons on daily volatility forecasts.
Edit intent: clarity
Original:  In addition, using a forecasting model based on Realized GARCH combined with time-frequency decomposed volatility, we attempt to study the influence of intra-day investment horizons on daily volatility forecasts.
Revised:  In addition, using a forecasting model based on Realized GARCH combined with time-frequency decomposed realized volatility measures, we study the influence of intra-day investment horizons on daily volatility forecasts.
Edit intent: clarity
Original:  In addition, using a forecasting model based on Realized GARCH combined with time-frequency decomposed volatility, we attempt to study the influence of intra-day investment horizons on daily volatility forecasts.
Revised:  In addition, using a forecasting model based on Realized GARCH combined with time-frequency decomposed volatility, we attempt to study the influence of different timescales on volatility forecasts.
Edit intent: clarity
Original:  The decomposition of volatility into several investment horizons and jumps is possible due to a recently proposed jump wavelet two scale realized volatility estimator (JWTSRV).
Revised:  The decomposition of volatility into several timescales approximates the behaviour of traders at corresponding investment horizons. The proposed methodology is moreover able to account for impact of jumps due to a recently proposed jump wavelet two scale realized volatility estimator (JWTSRV).
Edit intent: meaning-changed
Original:  The decomposition of volatility into several investment horizons and jumps is possible due to a recently proposed jump wavelet two scale realized volatility estimator (JWTSRV). On exchange rate futures data covering the recent financial crisis , we moreover compare forecasts using several additional realized volatility measures .
Revised:  The decomposition of volatility into several investment horizons and jumps is possible due to a recently proposed jump wavelet two scale realized volatility estimator . We propose a realized Jump-GARCH models estimated in two versions using maximum likelihood as well as observation-driven estimation framework of generalized autoregressive score. We compare forecasts using several popular realized volatility measures on foreign exchange rate futures data covering the recent financial crisis , we moreover compare forecasts using several additional realized volatility measures .
Edit intent: meaning-changed
Original:  We present a computational and theoretical study of  a many-body Brownian ratchet, in which a "gel " of multiple, stiff polymerizing filaments pushes a diffusing obstacle.
Revised: Many forms of cell motility rely on Brownian ratchet mechanisms that involve multiple stochastic processes. We present a computational and theoretical study of a many-body Brownian ratchet, in which a "gel " of multiple, stiff polymerizing filaments pushes a diffusing obstacle.
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Original:  We present a computational and theoretical study of  a many-body Brownian ratchet, in which a "gel " of multiple, stiff polymerizing filaments pushes a diffusing obstacle.
Revised:  We present a computational and theoretical study of the nonequilibrium statistical dynamics of such a many-body Brownian ratchet, in which a "gel " of multiple, stiff polymerizing filaments pushes a diffusing obstacle.
Edit intent: meaning-changed
Original:  Our results show that steady-state dynamics of this system are strongly influenced by a layer of depleted filament density at the obstacle-gel interface. Inter-filament correlations within this molecule-thick layer have dramatic consequences for the velocity and structure of the growing gel. These emergent behaviors can be captured by mean field theories that emphasize the non-additivity of polymerization forces and indicate a key role for the fluctuating gap between gel and obstacle .
Revised:  Our results show that steady-state kinetics and significantly deplete the gel's density within molecular distances of its leading edge. These behaviors are captured quantitatively by a self-consistent theory for extreme fluctuations in filaments' spatial distribution .
Edit intent: clarity
Original:  The result has important practical implications for consistent single-step and multi-step simulation of multivariate arrival times in a way that does not destroy dependence through iterations, as happens when inconsistently iterating a Gaussian copula.
Revised:  The result has important practical implications for consistent single-step and multi-step simulation of multivariate arrival times in a way that does not destroy dependency through iterations, as happens when inconsistently iterating a Gaussian copula.
Edit intent: fluency
Original:  In contrast to the naive implementation of marked branching diffusion, the number of branches as well as interactions are efficiently suppressed by the properties of the perturbative expansion. This property will make the numerical implementation more feasible and stable. Furthermore, there is no need of direct approximation of the non-linear driver by a polynomial function .
Revised:  The number of branching points are capped by the order of perturbation, which is expected to make the scheme less numerically intensive .
Edit intent: clarity
Original: In this work we develop a new measure to study the behavior of stochastic time series, which permits to distinguish events which are different from the ordinary, like financial crises.
Revised: Following the thermodynamic formulation of multifractal measure that was shown to be capable of detecting large fluctuations at an early stage, here we propose a new index which permits us to study the behavior of stochastic time series, which permits to distinguish events which are different from the ordinary, like financial crises.
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Original: In this work we develop a new measure to study the behavior of stochastic time series, which permits to distinguish events which are different from the ordinary, like financial crises. We identify from the data well known market crashes such as Black Thursday (1929), Black Monday (1987) and Subprime crisis (2008)  with clear and robust results.
Revised: In this work we develop a new measure to study the behavior of stochastic time series, which permits to distinguish events like financial crisis in real time . We calculate the partition function from where we obtain thermodynamic quantities analogous to free energy and specific heat. The index is defined as the normalized energy variation and it can be used to study the behavior of stochastic time series, such as financial market daily data. Famous financial market crashes - Black Thursday (1929), Black Monday (1987) and Subprime crisis (2008) with clear and robust results.
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Original: This paper investigates arbitrage chains involving d currencies and d foreign exchange trader-arbitrageurs. The commonly recognized belief in economics and finance is that arbitrage has the effect of causing prices in different marketsto converge. This conjecture was recently disproved in Kozyakin et al. (2010) ;
Revised: If financial markets displayed the informational efficiency postulated in the efficient markets hypothesis (EMH), arbitrage operations would be self-extinguishing. The present paper considers arbitrage sequences in foreign exchange (FX) markets, in which trading platforms and information are fragmented. In Kozyakin et al. (2010) ;
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Original:  Cross et al. (2012) , where was shown that for the case of four currencies arbitrage chains may be periodic or exponentially unstable. In contrast with the four-currency case, we find that arbitrage operations when d >= 5 currencies are present may appear very unstable, with the exchange rates growing in accordance with the double exponential law !
Revised:  Cross et al. (2012) , where was shown that sequences of triangular arbitrage operations in FX markets containing 4 currencies and trader-arbitrageurs tend to display periodicity or grow exponentially rather than being self-extinguishing. This paper extends the analysis to 5 currencies are present may appear very unstable, with the exchange rates growing in accordance with the double exponential law !
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Original:  In contrast with the four-currency case, we find that arbitrage operations when d >= 5 currencies are present may appear very unstable, with the exchange rates growing in accordance with the double exponential law !
Revised:  In contrast with the four-currency case, we find that arbitrage operations when d >= 5 or higher-order currency worlds. The key findings are that in a 5-currency world arbitrage sequences may also follow an exponential law as well as display periodicity, but that in higher-order currency worlds a double exponential law !
Edit intent: meaning-changed
Original:  In contrast with the four-currency case, we find that arbitrage operations when d >= 5 currencies are present may appear very unstable, with the exchange rates growing in accordance with the double exponential law !
Revised:  In contrast with the four-currency case, we find that arbitrage operations when d >= 5 currencies are present may appear very unstable, with the exchange rates growing in accordance with the double exponential law may additionally apply. There is an "inheritance of instability" in the higher-order currency worlds. Profitable arbitrage operations are thus endemic rather that displaying the self-extinguishing properties implied by the EMH.
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Original: We present scalable programmable quantum circuit schemes to simulate any given real unitary by setting the angle values in the circuit.
Revised: Constructing general programmable circuits to be able to run any given unitary operator efficiently on a quantum processor is of fundamental importance. We present a new quantum circuit design technique resulting two general programmable circuit schemes. The circuit schemes can be used to simulate any given real unitary by setting the angle values in the circuit.
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Original:  This provides a fixed circuit design whose angles are determined from the elements of the given unitary in an efficient way by benefiting from the decomposition of a uniformly controlled network. In addition, the quantum complexity for the circuit is almost the same as non-general circuits.
Revised:  This provides a fixed circuit design whose angles are determined from the elements of the given unitary in an efficient way . We also give both classical and quantum complexity analysis for these circuits and show that the circuits require a few classical computations, and the quantum complexities of them are almost the same as non-general circuits.
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