With the increasing openness of the China economy, the goal of this paper is to examine volatility connectedness and spillover transmissions across markets for stock, public real estate, bond, commodity futures, and foreign exchange within the China economy. Over the full study period, we find that the five China's financial markets are not strongly volatility connected. The bond market is the predominant market of spillover transmission, whereas the commodity futures market is the top net recipient of volatility connectedness shocks. The role of spillover transmission increased during the three financial crisis periods studied. Additionally, the five markets display some degree of nonlinear causal dependence. During the Chinese stock market crash, the stock and public real estate reacted with similar patterns and larger positive or negative responses to shocks, whereas bonds and commodity futures have milder shocks response. Our findings have important implications for portfolio investors in asset diversification and policymakers in their domestic macroprudential policy coordination and control.
Citation: Kim Hiang Liow, Jeongseop Song, Xiaoxia Zhou. Volatility connectedness and market dependence across major financial markets in China economy[J]. Quantitative Finance and Economics, 2021, 5(3): 397-420. doi: 10.3934/QFE.2021018
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With the increasing openness of the China economy, the goal of this paper is to examine volatility connectedness and spillover transmissions across markets for stock, public real estate, bond, commodity futures, and foreign exchange within the China economy. Over the full study period, we find that the five China's financial markets are not strongly volatility connected. The bond market is the predominant market of spillover transmission, whereas the commodity futures market is the top net recipient of volatility connectedness shocks. The role of spillover transmission increased during the three financial crisis periods studied. Additionally, the five markets display some degree of nonlinear causal dependence. During the Chinese stock market crash, the stock and public real estate reacted with similar patterns and larger positive or negative responses to shocks, whereas bonds and commodity futures have milder shocks response. Our findings have important implications for portfolio investors in asset diversification and policymakers in their domestic macroprudential policy coordination and control.
Clarke's subdifferential operator is associated with a type of nonlinear inclusion known as hemivariational inequalities. These inequalities have applications in structural analysis and non-convex optimization. The two main types of inequality problems are variational inequalities and hemivariational inequalities. Hemivariational inequalities handle nonsmooth, nonconvex energy functions, whereas variational inequalities primarily deal with convex energy functions. In 1981, Panagiotopoulos introduced the concept of hemivariational inequality as a method to represent mechanical obstacles. Hemivariational inequalities or subdifferential inclusions can be used to model various nonsmooth contact mechanics issues involving multivalued and nonmonotone constitutive laws with boundary conditions (see [1,2,3]). Since then, numerous researchers have made significant contributions to the field of hemivariational inequalities, as seen in [4,5,6,7,8,9]. Moreover, neutral differential systems with impulsive effects have become a prominent area of research, modeling real-world processes that undergo sudden changes at specific points. This field has far-reaching applications in areas like finance, economics, mechanics, neural networks, electronics, and telecommunications. Notably, the authors of [10] investigated the controllability of nonlocal neutral differential inclusions with impulse effects. Researchers looked at the existence of impulsive multivalued neutral functional differential inclusions [11,12].
Research on controllability in hemivariational-type systems has gained significant attention from the scientific community in recent times. Control problems have significant implications for various fields, including engineering, physics, and finance [13]. Despite the progress made, many intriguing questions and concepts remain unexplored. Notably, the authors of [14,15] established the existence of optimal control in hemivariational inequalities, while [16,17] investigated optimal control in parabolic hemivariational inequalities. Furthermore, [18,19] demonstrated the existence of optimal control in hyperbolic systems, contributing to the advancement of the field. Due to their wide application to numerous pragmatist mathematics fields, neutral systems have attracted attention recently. Neutral systems have numerous applications in various fields, including thermal expansion of materials, biological advancements, surface waves, and stretchability, which benefit from neutral systems either directly or indirectly. Additionally, researchers have extensively studied hemivariational inequalities with a neutral type in [20,21]. For further information regarding the system with hemivariational inequalities, refer to [22,23,24,25,26]. Recently, there has been a surge of interest in Clarke's subdifferential evolution inclusion problems, particularly in the context of nonsmooth analysis and optimization. Frictional contact analysis can effectively characterize the interaction between a piezoelectric body and an electrically conducting foundation, and the frictional contact between a piezoelectric cylinder and a foundation exhibits anti-plane shear deformations. Moreover, the authors of [27] have established approximate controllability results for Sobolev-type Hilfer fractional neutral evolution problems with Clarke's subdifferential-type problems. Our proposed problem presents a model that combines the key elements of hemivariational inequality and fractional impulsive differential equations into a unified framework. This study establishes approximate controllability results for a neutral differential system with impulsive effects, formulated as a hemivariational inequality. Next, we will define the specific system under consideration, which will be the focus of our investigation:
{⟨−ddφ[u′(φ)−g1(φ,u(φ))]+A(φ)u(φ)+Bv(φ),ω⟩M+H∘(φ,u(φ);ω)≥0,φi≠φ∈L=[0,a], ∀ ω∈M,u(0)=u0, u′(0)=u1,Δu(φi)=Li(u(φi)),Δu′(φi)=Ki(u(φi)), i=1,2,3,...,m, 0<φ1<φ2<...<φm<a. | (1.1) |
Here ⟨⋅,⋅⟩M stands for the inner product of the separable Hilbert space M and A:D(A)⊆M→M is a closed, linear, and densely defined operator on M. H∘(φ,⋅;⋅) denotes the generalized Clarke's directional derivative [6] of a locally Lipschitz function H(φ,⋅):M→R. The function g1:L×M→M. The control function v∈V takes values from L2(L,V) and V is the control set which is also a Hilbert space. Let B:V→M be the bounded linear operator. Let 0<φ1<φ2<...<φm<φm+1=a be pre-fixed points and the symbol Δu(φi) represents the jump in the state u at time t which is defined by Δu(φi)=u(φ+i)−u(φ−i), and u(φ−i) and u(φ+i) denote the left and right limit of u at φi. Li:M→M and Ki:M→M,i=1,2,3,...,m, are impulsive functions.
The structure of the article is presented in the following way:
● We begin by reviewing key definitions, fundamental theorems, and initial findings from a previous section.
● The core focus then shifts to exploring the existence of mild solutions for the system represented by Eq (1.1).
● Next, we investigate the approximate controllability of the system (1.1).
● Finally, we solidify our theoretical results by presenting a concrete example.
Let Z and Z∗ be a Banach space and its dual, respectively with ‖⋅‖Z and ⟨⋅,⋅⟩ is the duality pairing of Z and Z∗. The Banach space PC(L,Z) is the set of all piecewise continuous functions from L=[0,a] into Z together with ‖u‖PC=supφ∈L‖u(φ)‖Z. Also,
M(w)k(e)(Z):={℧⊆Z:℧≠∅ is (weakly) compact (convex)};Mf(e)(Z):={℧⊆Z:℧≠∅ is closed (convex)}. |
Consider the non-autonomous second-order initial value problem:
z′′(φ)= A(φ)z(φ)+f(φ),0≤z,φ≤a, | (2.1) |
z(z)= z0,z′(z)=z1, | (2.2) |
where A(φ):D(A(φ))⊆M→M, φ∈[0,a] is a closed densely defined operator and f:[0,a]→M is an appropriate function. One can refer to [15,28,29,30] and the references therein. A significant number of articles relate the existence of solutions to the (2.1)-(2.2) problem to the existence of the evolution operator Q(φ,z) for the homogeneous equation
z′′(φ)= A(φ)z(φ),0≤φ≤a. | (2.3) |
Assume that the domain of A(φ) is a subspace D that is dense in M and independent of φ, and that the function φ↦A(φ)z is continuous for each z∈D(A(φ)).
In view of Kozak's work [31], we shall apply the following evolution operator notion in this study.
Definition 2.1. A family Q of bounded linear operators Q(φ,z):[0,a]×[0,a]→L(M) is called an evolution operator for (2.3) if the following conditions are satisfied:
(Z1) For each z∈M, the mapping [0,a]×[0,a]∋(φ,z)→Q(φ,z)z∈M is of class C1 and
(i) for each φ∈[0,a], Q(φ,φ)=0,
(ii) for all φ,z∈[0,a], and for each z∈M,
∂∂φQ(φ,z)z|φ=z=z,∂∂zQ(φ,z)z|φ=z=−z. |
(Z2) For all φ,z∈[0,a], if z∈D(A), then Q(φ,z)z∈D(A), the mapping [0,a]×[0,a]∋(φ,z)→Q(φ,z)z∈M is of class C2 and
(i) ∂2∂φ2Q(φ,z)z=A(φ)Q(φ,z)z,
(ii) ∂2∂z2Q(φ,z)z=Q(φ,z)B(z)z,
(iii) ∂∂z∂∂φQ(φ,z)z|φ=z=0.
(Z3) For all φ,z∈[0,a], if z∈D(A), and then ∂∂zQ(φ,z)z∈D(A), then ∂2∂φ2∂∂zQ(φ,z)z, ∂2∂z2∂∂φQ(φ,z)z, and
(i) ∂2∂φ2∂∂zQ(φ,z)z=A(φ)∂∂zQ(φ,z)z,
(ii) ∂2∂z2∂∂φQ(φ,z)z=∂∂φQ(φ,z)A(z)z,
and the mapping [0,a]×[0,a]∋(φ,z)→A(φ)∂∂zQ(φ,z)z is continuous.
Let us take
C(φ,z)=−∂Q(φ,z)∂z. |
Also, for some positive constants N1 and N2, we set sup0≤φ,z≤a‖Q(φ,z)‖≤N2 and sup0≤φ,z≤a‖C(φ,z)‖≤N1 and
‖Q(φ+g,z)−Q(φ,z)‖≤N1|g|, | (2.4) |
for all z,φ,φ+g∈[0,a]. The mild solution z:[0,a]→M of (2.1)-(2.2) is:
z(φ)=C(φ,z)z0+Q(φ,z)z1+∫φ0Q(φ,η)f(η)dη. |
Let us start by discussing the necessary definitions and findings from the multivalued analysis. The following sources [7,32,33] are recommended for readers in addition to multivalued maps.
Definition 2.2. Given a Banach space Z and a multivalued map H:Z→2Z∖{∅}=N(Z), we say
(i) H is convex and closed valued, only when H(u) is convex and closed valued for all u∈Z.
(ii) H is said to be upper semicontinuous on Z, if for all y∈Z, H(u)≠∅ is closed in Z and if for each open set J1 of Z which contains H(u), then there is an open neighborhood E of u such that H(E)⊆J1.
(iii) H is bounded on bounded sets if H(B)=∪u∈BH(u) is bounded in Z for all B∈Mb(Z) (i.e., supu∈B{sup{‖k‖:k∈H(u)}}<∞).
(iv) H is supposed to be completely continuous provided that H(J1) is relatively compact, for all bounded subset J1⊆Z.
(v) H has a fixed point if there is a u∈Z such that u∈H(u).
For a locally Lipschitzian functional H:Z→R, we denote H0(q;p), the Clarke's generalized directional derivative of H at point q in the direction of p, that is,
H0(q;p):=limγ→0+supϑ→qH(ϑ+γp)−H(ϑ)γ. |
Also, ∂H(q):={q∗∈Z∗:H0(q;p)≥⟨q∗;p⟩,for every p∈Z} denotes the generalized Clarke's subdifferential.
The subsequent features and outcomes will facilitate our goal achievement:
Lemma 2.3. [9] If the function H:℧→R is a locally Lipschitz on an open set ℧ of Z, then
(i) For all p∈Z, it has H0(q;p)=max{⟨q∗;p⟩: for all q∗∈∂H(q)};
(ii) For all q∈℧, the gradient ∂H(q) is a nonempty, convex, weak∗-compact subset of Z∗ and ‖q∗‖Z∗≤M, for all q∗∈∂H(q);
(iii) The graph of ∂H is closed in ℧×Z∗ℓ∗. That is, if {qn}⊂℧, {q∗n}⊂Z∗ are sequences as q∗n∈∂H(qn) and qn→q∈Z, q∗n→q∗ weakly∗ in Z∗, then q∗∈∂H(q) (where the Banach space Z∗ furnished with the ℓ∗-topology is denoted by Z∗ℓ∗);
(iv) The multifunction ℧∋q→∂H(q)⊆Z∗ is upper semicontinuous which maps ℧ into Z∗ℓ∗.
Lemma 2.4. [9] Let Z be the separable reflexive Banach space, 0<a<∞ and H:(0,a)×Z→R, such that H(⋅,w) is measurable for each w∈Z and H(φ,⋅) is locally Lipschitz on Z for all φ∈(0,a). Then the multifunction (0,a)×Z∋(φ,w)↦∂H(φ,w)⊂Z∗ is measurable.
As discussed in [9], we can investigate the existence of mild solutions and approximate controllability for the following semilinear inclusions:
{ddφ[z′(φ)−g1(φ,u(φ))]∈A(φ)u(φ)+Bv(φ)+∂H(φ,z(φ)), φ∈L=[0,a],u(0)=u0, u′(0)=u1,Δu(φi)=Li(u(φi)), Δu′(φi)=Ki(u(φi)), i=1,2,3,...,m. | (2.5) |
Now, we can explore the implication that every solution to Eq (2.5) is also a solution to Eq (1.1). Hence, if u∈PC(L,M) is a solution of (2.5), there exists h(φ)∈∂H(φ,u(φ)) provided h∈L2(L,M) and
{ddφ[u′(φ)−g1(φ,u(φ))]=A(φ)u(φ)+Bv(φ)+h(φ), φ∈L=[0,a],u(0)=u0, u′(0)=u1,Δz(φi)=Li(u(φi)), Δu′(φi)=Ki(u(φi)), i=1,2,3,...,m, |
which implies
{⟨−ddφ[u′(φ)−g1(φ,u(φ))]+A(φ)u(φ)+Bv(φ),ω⟩M+⟨h(φ),ω⟩M=0, φ∈L=[0,a],for all ω∈M,u(0)=u0, u′(0)=u1,Δz(φi)=Li(u(φi)), Δu′(φi)=Ki(u(φi)), i=1,2,3,...,m. |
Since ⟨h(φ),ω⟩M≤H0(φ,u(φ);ω) and h(φ)∈∂H(φ,u(φ)),
{⟨−ddφ[u′(φ)−g1(φ,u(φ))]+A(φ)u(φ)+Bv(φ),ω⟩M+ H0(φ,u(φ);ω), φ∈L=[0,a], for all ω∈M,u(0)=u0, u′(0)=u1,Δu(φi)=Li(u(φi)), Δu′(φi)=Ki(u(φi)), i=1,2,3,...,m. |
Therefore, our initial focus will be on examining the semilinear inclusion (2.5), which proceeds our investigation of the hemivariational inequality (1.1). According to established literature [33,34], the mild solution for problem (2.5) is defined as below.
Definition 2.5. For all v∈L2(L,V), a function u∈PC(L,M) is a mild solution for (2.5) if there exists h∈L2(L,M) as h(φ)∈∂H(φ,u(φ)) almost everywhere on φ∈L,
u(φ)=C(φ,0)u0+Q(φ,0)[u1−g1(0,u(0))]+∫φ0C(φ,z)g1(z,u(z))dz+∫φ0Q(φ,z)h(z)dz+∫φ0Q(φ,z)Bv(z)dz+∑0<φi<φC(φ,φi)Li(u(φi))+∑0<φi<φQ(φ,φi)Ki(u(φi)), φ∈L. |
Let us take the following assumptions:
(A1) The function H:L×M→R satisfies:
(i) ∀ u∈M, φ↦H(φ,z) is measurable;
(ii) u↦H(φ,u) is locally Lipschitz continuous for a.e. φ∈L;
(iii) There is a function b(φ)∈L2(L,R+) and e>0 such that
‖∂H(φ,u)‖=sup{‖h‖:h(φ)∈∂H(φ,u)}≤b(φ)+e‖u‖,for a.e. φ∈L and for each u∈M. |
(A2) In the function g1:L×M→M, there exists some constants C1,C2>0, and for every u∈M, φ1,φ2∈L, we have
‖g1(φ1,u(φ1))−g1(φ2,u(φ2))‖≤C1‖u(φ1)−u(φ2)‖,‖g1(φ1,u(φ1))‖≤C2(1+‖u(φ1)‖). |
(A3) For some constants ci,li>0, the maps Li,Ki:M→M are continuous, and
‖Li(φ)‖≤ci,‖Ki(φ)‖≤li, i=1,2,3,...,m, for all u∈M. |
Let M:L2(L,M)→2L2(L,M) be defined as below:
M(u)={k∈L2(L,M):k(φ)∈∂H(φ,u(φ)) almost everywhere, φ∈L}, for all u∈L2(L,M). |
Lemma 2.6. [35] Let (A1) and M be true. If un→u in L2(L,M), wn→w weakly in L2(L,M) and un∈M(un), and then u∈M(u).
Lemma 2.7. [9] Let all hypotheses and (A1) hold. Then for every u∈L2(L,M), the set M(u) has nonempty, weakly compact and convex values.
Theorem 2.8. [9] Consider the Banach space Z which is locally convex and Υ:Z→2Z is a compact convex valued, upper semicontinuous multivalued map such that there exists a closed neighborhood J of 0 for which Υ(J) is relatively compact provided
℧={x∈Z:γx∈Υ(u), for some γ>1} |
is bounded. Then Υ has a fixed point.
Theorem 3.1. For all v∈L2(L,V), provided that (A1)–(A3) are fulfilled, then (2.5) has a mild solution on L such that a(N1C2+N2e)<1, where N1:=supφ,z∈[0,a]‖C(φ,z)‖, N2:=supφ,z∈[0,a]‖Q(φ,z)‖.
Proof. Initially, choose any u∈PC(L,M)⊂L2(L,M), by Lemma 2.7. Now, define Υ:PC(L,M)→2PC(L,M) as:
Υ(u)={f∈PC(L,M):f(φ)=C(φ,0)u0+Q(φ,0)[u1−g1(0,u(0))]+∫φ0C(φ,z)g1(z,u(z))dz+∫φ0Q(φ,z)h(z)dz+∫φ0Q(φ,z)Bv(z)dz+∑0<φi<φC(φ,φi)Li(u(φi))+∑0<φi<φQ(φ,φi)Ki(u(φi)), h∈M(u)}, u∈PC(L,M). |
It is clear that we can determine a fixed point of the multivalued map Υ that satisfies Theorem 2.8. First, note that the set-valued map Υ(u) is convex due to the properties of M(u). Now, let us proceed with the proof of the theorem as follows:
Step 1. Υ(Br)⊆(Br),r>0, is bounded in PC(L,M), where Br={u∈PC(L,M):‖u‖PC≤r}. Here, it suffices to demonstrate the existence of a positive constant ℓ such that for each σ∈Υ(u), u∈Br,‖σ‖PC≤ℓ. If σ∈Υ(u), then there is a h∈M(u) provided
σ(φ)=C(φ,0)u0+Q(φ,0)[u1−g1(0,u(0))]+∫φ0C(φ,z)g1(z,u(z))dz+∫φ0Q(φ,z)h(z)dz+∫φ0Q(φ,z)Bv(z)dz+∑0<φi<φC(φ,φi)Li(u(φi))+∑0<φi<φQ(φ,φi)Ki(u(φi)),φ∈L. |
By Hölder's inequality,
‖σ(φ)‖≤‖C(φ,0)u0‖+‖Q(φ,0)[u1−g1(0,u(0))]‖+‖∫φ0C(φ,z)g1(z,u(z))dz‖+‖∫φ0Q(φ,z)h(z)dz‖+‖∫φ0Q(φ,z)Bv(z)dz‖+∑0<φi<φ‖C(φ,φi)Li(u(φi))‖+∑0<φi<φ‖C(φ,φi)Ki(u(φi))‖≤N1‖u0‖+N2‖[u1−g1(0,u(0))]‖+N1∫φ0C2(1+r)dz+N2∫φ0[b(z)+er+‖B‖‖v(z)‖]dz+N1∑0<φi<φ‖Li(u(φi))‖+N2∑0<φi<φ‖Ki(u(i))‖≤N1‖u0‖+N2φ2‖[u1−g1(0,u(0))]‖+N1aC2(1+r)+N2[√a‖b‖L2(Q,R+)+era+√a‖B‖‖v‖L2(Q,V)]+N1m∑i=1ci+N2m∑i=1li:=ℓ. |
Thus, Υ(Br) is bounded.
Step 2. {Υ(u):u∈Br} is completely continuous.
Let us note that for any u∈Br, σ∈Υ(u), there exists h∈M(u) such that for all φ∈L,
‖σ(φ)‖≤‖C(φ,0)u0‖+‖Q(φ,0)[u1−g1(0,u(0))]‖+‖∫φ0C(φ,z)g1(z,u(z))dz‖+‖∫φ0Q(φ,z)h(z)dz‖+‖∫φ0Q(φ,z)Bv(z)dz‖+∑0<φi<φ‖C(φ,φi)Li(u(φi))‖+∑0<φi<φ‖C(φ,φi)Ki(u(φi))‖. |
For 0<ξ1<ξ2≤a and k>0 very small,
‖σ(ξ2)−σ(ξ1)‖M≤‖C(ξ2,0)−C(ξ1,0)‖‖u0‖+‖Q(ξ2,0)−Q(ξ1,0)‖‖[u1−g1(0,u(0))]‖+∫ξ1−k0‖C(ξ2,z)−C(ξ1,z)‖‖g1(z,u(z))‖dz+∫ξ1ξ1−k‖C(ξ2,z)−C(ξ1,z)‖‖g1(z,u(z))‖dz+∫ξ2ξ1‖C(ξ2,z)‖ ‖g1(z,u(z))‖dz+∫ξ1−k0‖Q(ξ2,z)−Q(ξ1,z)‖‖h(z)+Bv(z)‖dz+∫ξ1ξ1−k‖Q(ξ2,z)−Q(ξ1,z)‖ ‖h(z)+Bv(z)‖dz+∫ξ2ξ1‖Q(ξ2,z)‖ ‖h(z)+Bv(z)‖dz+∑0<φi<a‖C(ξ2,φi)−C(ξ1,φi)‖‖Li(u(φi))‖+∑0<φi<a‖Q(ξ2,φi)−Q(ξ1,φi)‖‖Ki(u(φi))‖≤‖C(ξ2,0)−C(ξ1,0)‖‖u0‖+‖Q(ξ2,0)−Q(ξ1,0)‖‖[u1−g1(0,u(0))]‖+∫ξ1−k0‖C(ξ2,z)−C(ξ1,z)‖C2(1+r)dz+∫ξ1ξ1−k‖C(ξ2,z)−C(ξ1,z)‖C2(1+r)dz+N1 C2(1+r)(ξ2−ξ1)+∫ξ1−k0‖Q(ξ2,φi)−Q(ξ1,φi)‖[b(z)+er+‖B‖‖v(z)‖]dz+∫ξ1ξ1−k‖Q(ξ2,z)−Q(ξ1,z)‖[b(z)+er+‖B‖‖v(z)‖]dz+N2∫ξ2ξ1[b(z)+er+‖B‖‖v(z)‖]dz+∑0<φi<a‖C(ξ2,φi)−C(ξ1,φi)‖‖Li(u(φi))‖+∑0<φi<a‖Q(ξ2,φi)−Q(ξ1,φi)‖‖Ki(u(φi))‖. | (3.1) |
From the uniform operator topology [33, Lemma 6.2], it is easily understood that (3.1) tends to zero of u∈Br as ξ2→ξ1 and k→0.
Equivalently, for ξ1=0 and 0<ξ2≤a, we can show that ‖σ(ξ2)−u0‖M tends to zero independently of u∈Br as ξ2→0. Hence, we can conclude that {Υ(u):u∈Br} is equicontinuous of PC(L,M).
Finally, from the assumptions (A1) and (A3) and by the definition of a relatively compact set, it is not difficult to check that {σ(t):σ∈Υ(Br)} is relatively compact in M. Thus, by the generalized Arzelˊa-Ascoli theorem, we get that Υ is a multivalued compact map.
Therefore, based on the above arguments, Υ is completely continuous.
Step 3. Assume un→u∗ in PC(L,M), σn∈Υ(un) and σn→σ∗ in PC(L,M). Let us check σ∗∈Υ(u∗). It is obvious that σn∈Υ(un) exist only when hn∈M(un) such that
σn(φ)=C(φ,0)u0+Q(φ,0)[u1−g1(0,u(0))]+∫φ0C(φ,z)g1(z,un(z))dz+∫φ0Q(φ,z)hn(z)dz+∫φ0Q(φ,z)Bv(z)dz+∑0<φi<φC(φ,φi)Li(u(φi))+∑0<φi<φQ(φ,φi)Ki(u(φi)). | (3.2) |
Here {hn}n≥1⊆L2(L,M) is bounded from the hypothesis (A2). Hence we may assume that
hn→h∗ weakly in L2(L,M). | (3.3) |
From (3.2) and (3.3), we have
σn(φ)→C(φ,0)u0+Q(φ,0)[u1−g1(0,u(0))]+∫φ0C(φ,z)g1(z,u∗(z))dz+∫φ0Q(φ,z)h∗(z)dz+∫φ0Q(φ,z)Bv(z)dz+∑0<φi<φC(φ,φi)Li(u(φi))+∑0<φi<φQ(φ,φi)Ki(u(φi)). | (3.4) |
We can see that σn→σ∗ in PC(L,M) and hn∈M(u). According to Lemma 2.6 and (3.4), h∗∈M(u∗). Then, σ∗∈Υ(u∗), and this shows that Υ has a closed graph. Hence using Proposition 3.12 of [36] implies that it is upper semicontinuous.
Step 4. A priori estimate.
Based on the results from Steps 1–3, we have established that the multivalued map Υ satisfies the following properties: upper semicontinuity, convex-valuedness, compactness, and relative compactness of Υ(Br). Therefore, Υ meets the conditions of Theorem 2.8, which implies that
℧={u∈PC(L,M):γu∈Υ(u), γ>1}, |
is bounded. To prove Υ has a fixed point, let u∈℧, and h∈M(u) such that
u(φ)=γ−1C(φ,0)u0+Q(φ,0)[u1−g1(0,u(0))]+γ−1∫φ0C(φ,z)g1(z,u(z))dz+γ−1∫φ0Q(φ,z)h(z)dz+γ−1∫φ0Q(φ,z)Bv(z)dz+γ−1∑0<φi<φC(φ,φi)Li(u(φi))+γ−1∑0<φi<φQ(φ,φi)Ki(u(φi)). |
From our assumptions,
‖u(φ)‖M≤‖C(φ,0)u0‖+‖Q(φ,0)[u1−g1(0,u(0))]‖+‖∫φ0C(φ,z)g1(z,u(z))dz‖+‖∫φ0Q(φ,z)h(z)dz‖+‖∫φ0Q(φ,z)Bv(z)dz‖+∑0<φi<φ‖C(φ,φi)Li(u(φi))‖+∑0<φi<φ‖Q(φ,φi)Ki(u(φi))‖≤N1‖u0‖+N2‖[u1−g1(0,u(0))]‖+N1∫φ0C2(1+‖u(z)‖)dz+N2∫φ0[a(z)+e‖u(z)‖+‖B‖‖v(z)‖]dz+N1∑0<φi<φ‖Li(u(φi))‖+N2∑0<φi<φ‖Ki(u(φi))‖≤ρ+K1‖u‖, | (3.5) |
where
ρ=N1[u0]+N2[u1−g1(0,u(0))]+N1C2b+N2(‖b‖L2(L,R+)+‖B‖‖v‖L2(L,V))√a+m∑i=1li]+N1m∑i=1ci,K1=a(N1C2+N2e). |
Hence, by the assumption K1<1 and (3.5), we can see that
‖u‖=supφ∈L‖u(φ)‖≤ρ+K1‖u‖, thus ‖u‖≤ρ1−K1=:ℓ2. |
Hence, Υ has a fixed point.
Consider that the mild solution for the Eq (2.5) is u(⋅;v), the control variable v has values in L2(L,V), and the initial value is u0,u1∈M. At the terminal time a, the accessible set of the system (2.5) is defined as R(a,u0,u1)={u(a;u0,u1):v∈L2(L,V)}.
Definition 4.1. The Eq (2.5) is approximately controllable on L, if for any initial value u0,u1∈M, then ¯R(a,u0,u1)=M.
Consider the linear differential system:
{u′′(φ)=A(φ)u(φ)+Bv(φ), φ∈L=[0,a],u(0)=u0,u′(0)=u1. | (4.1) |
Now, define the operators for the system (4.1) as:
Υa0=∫a0Q(a,z)BB∗Q∗(a,z)dzandR(β,Υa0)=(βI+Υa0)−1, β>0, |
where B∗ and Q∗(φ) are adjoint of B and Q(φ), respectively.
Lemma 4.2. [9] The system (4.1) is approximately controllable on L iff β R(β,Υa0)→0 as β→0+ in the strong operator topology.
Choose any β>0, u∈PC(L,M)⊂L2(L,M) and ua∈M, as stated in Lemma 2.7, and it is possible to define a multivalued map Υβ:PC(L,M)→2PC(L,M) given by
Υβ(u)={f∈PC(L,M):f(φ)=C(φ,0)u0+Q(φ,0)[u1−g1(0,u(0))]+∫φ0C(φ,z)g1(z,u(z))dz+∫φ0Q(φ,z)h(z)dz+∫φ0Q(φ,z)Bv(z)dz+∑0<φi<φC(φ,φi)Li(u(φi))+∑0<φi<φQ(φ,φi)Ki(u(φi)),h∈M(u)}, |
and
vβ(φ)=B∗Q∗(a,z)R(β,Υa0)(ua−C(a,0)u0−Q(a,0)[u1−g1(0,u(0))]−∫a0C(a,z)g1(z,u(z))dz−∫a0Q(a,z)h(z)dz−∑0<φi<aC(a,φi)Li(u(φi))−∑0<φi<aQ(a,φi)Ki(u(φi))). |
Theorem 4.3. Let (A1)–(A3) be true. Υβ, for all β>0, has a fixed point on L=[0,a] if
a(N1C2+N2e)(1+N22‖B‖2β)<1, |
where N1:=supφ,z∈[0,a]‖C(φ,z)‖, N2:=supφ,z∈[0,a]‖Q(φ,z)‖.
Proof. For every u∈PC(L,M), by the nature of M(u), we can say Υβ is convex.
Step 1. For every p>0,Υβ(Bp) is bounded in PC(L,M),
Bp={u∈PC(L,M):‖u‖PC≤p}. |
Here, it is sufficient to prove that there exists a positive constant lβ and for all σ∈Υβ(u), u∈Bp, ‖σ‖PC≤lβ. If σ∈Υβ(u), there is h∈M(u) such that
σ(φ)=C(φ,0)u0+Q(φ,0)[u1−g1(0,u(0))]+∫φ0C(φ,z)g1(z,u(z))dz+∫φ0Q(φ,z)h(z)dz+∫φ0Q(φ,z)Bv(z)dz+∑0<φi<φC(φ,φi)Li(u(φi))+∑0<φi<φQ(φ,φi)Ki(u(φi)), φ∈L. |
Notice that
‖vβ(φ)‖=‖B∗Q∗(a,z)R(β,Υa0)(ua−C(a,0)u0−Q(a,0)[u1−g1(0,u(0))]−∫a0C(a,z)g1(z,u(z))dz−∫a0Q(a,z)h(z)dz−∑0<φi<aC(a,φi)Li(u(φi))−∑0<φi<aQ(a,φi)Ki(u(φi)))‖≤N2‖B‖β[‖ua‖+N1‖u0‖+N2‖u1−g1(0,u(0))‖+aN1C2(1+p)+N2[‖b‖L2(L,R+)√a+epa]+N1m∑i=1ci+N2m∑i=1li]:=Ψ. | (4.2) |
From (4.2),
‖σ(φ)‖M≤‖C(φ,0)u0‖M+‖Q(φ,0)[u1−g1(0,u(0))]‖M+‖∫φ0C(φ,z)g1(z,u(z))dz‖+‖∫φ0Q(φ,z)h(z)dz‖+‖∫φ0Q(φ,z)Bv(z)dz‖+∑0<φi<φ‖C(φ,φi)Li(u(φi))‖+∑0<φi<φ‖C(φ,φi)Ki(u(φi))‖≤N1‖u0‖+N2‖[u1−g1(0,u(0))]‖+N1aC2(1+p)+N2[√a‖b‖L2(L,R+)+epa+‖B‖Ψa]+N1m∑i=1ci+N2m∑i=1li:=lβ. |
Thus Υβ(Bp) is bounded in PC(L,M).
Step 2. Consider any u∈Bp, σ∈Υβ(u). There exists h∈M(u), for every φ∈L,
σ(φ)=C(φ,0)u0+Q(φ,0)[u1−g1(0,u(0))]+∫φ0C(φ,z)g1(z,u(z))dz+∫φ0Q(φ,z)h(z)dz+∫φ0Q(φ,z)Bv(z)dz+∑0<φi<φC(φ,φi)Li(u(φi))+∑0<φi<φQ(φ,φi)Ki(u(φi)). |
Using ‖vβ(t)‖ as (4.2) and also from Theorem 3.1, Step 2, one can obtain that {Υβ(u):u∈Bp} is completely continuous.
Step 3. Consider un→u∗ in PC(L,M), σn∈Υβ(un) and σn→σ∗ in PC(L,M). We investigate σ∗∈Υβ(u∗). Indeed, σn∈Υβ(un) exists only when hn∈M(un) such that
σn(φ)=C(φ,0)u0+Q(φ,0)[u1−g1(0,u(0))]+∫φ0C(φ,z)g1(z,un(z))dz+∫φ0Q(φ,z)hn(z)dz+∫φ0Q(φ,z)BB∗Q∗(a,z)R(β,Υa0)(×)(ua−C(a,0)u0−Q(a,0)[u1−g1(0,u(0))]−∫a0C(a,η)g1(η,un(η))dη−∫a0Q(a,η)hn(η)dη−∑0<φi<aC(a,φi)Li(u(φi))−∑0<φi<aQ(a,φi)Ki(u(φi)))dz+∑0<φi<φC(φ,φi)Li(u(φi))+∑0<ti<tQ(φ,φi)Ki(u(φi)). | (4.3) |
From (A1), we will prove {hn}n≥1⊆L2(L,M) is bounded. Hence,
hn→h∗ weakly in L2(L,M). | (4.4) |
From (4.3) and (4.4),
σn(φ)→C(φ,0)u0+Q(φ,0)[z1−g1(0,z(0))]+∫φ0C(φ,z)g1(z,u∗(z))dz+∫φ0Q(φ,z)h∗(z)dz+∫φ0Q(φ,z)BB∗Q∗(a,z)R(β,Υa0)(×)(ua−C(a,0)u0−Q(a,0)[u1−g1(0,u(0))]−∫a0C(a,η)g1(η,u∗(η))dη−∫a0Q(a,η)h∗(η)dη−∑0<φi<aC(a,φi)Li(u(φi))−∑0<φi<aQ(a,φi)Ki(u(φi)))dz+∑0<φi<φC(φ,φi)Li(u(φi))+∑0<φi<φQ(φ,φi)Ki(u(φi)). | (4.5) |
Clearly, σn→σ∗ in PC(L,M) and hn∈M(un). According to Lemma 2.6 and (4.5), h∗∈M(u∗). Then, σ∗∈Υ(u∗), and this shows that Υ has a closed graph. Hence, by using Proposition 3.12 of [36] implies that it is upper semicontinuous.
Step 4. A priori estimate.
By Steps 1–3, Υβ is convex valued, compact upper semicontinuous, Υβ(Bp) is a relatively compact set and meets Theorem 2.8, and
J={u∈PC(L,M):γu∈Υβ(u), γ>1}, |
is bounded.
Consider u∈J. Then there exists h∈M(u) such that
u(φ)=γ−1C(φ,0)u0+γ−1Q(φ,0)[u1−g1(0,u(0))]+γ−1∫φ0C(φ,z)g1(φ,u(φ))dz+γ−1∫φ0Q(φ,z)h(z)dz+γ−1∫φ0Q(φ,z)Bvβ(z)dz+γ−1∑0<φi<φC(φ,φi)Li(u(φi))+γ−1∑0<φi<φQ(φ,φi)Ki(u(φi)), |
and
vβ(φ)=B∗Q∗(a,z)R(β,Υa0)(ua−C(a,0)u0−Q(a,0)[u1−g1(0,u(0))]−∫a0C(a,z)g1(z,u(z))dz−∫a0Q(a,z)h(z)dz−∑0<φi<aC(a,φi)Li(u(φi))−∑0<φi<aQ(a,φi)Ki(u(φi))). |
Then from our assumptions,
‖u(φ)‖M≤‖C(φ,0)u0‖+‖Q(φ,0)[u1−g1(0,u(0))]‖+‖∫φ0C(φ,z)g1(z,u(z))dz‖+‖∫φ0Q(φ,z)h(z)dz‖+‖∫φ0Q(φ,z)Bvβ(z)dz‖+∑0<φi<φ‖C(φ,φi)Li(u(φi))‖+∑0<φi<φ‖Q(φ,φi)Ki(u(φi))‖≤N1‖z0‖+N2‖[u1−g1(0,u(0))]‖+N1∫φ0C2(1+‖u(φ)‖)dz+N2∫φ0[b(z)+e‖u(z)‖+‖B‖(N2‖B‖β[‖ua‖+N1‖u0‖+N2‖u1−g1(0,z(0))‖+aN1C2(1+p)+N2[‖b‖L2(L,R+)√a+epa]+N1m∑i=1ci+N2m∑i=1li])dz+N1∑0<φi<φ‖Li(u(φi))‖+N2∑0<φi<φ‖Ki(u(φi))‖≤ρ+K2‖u‖, | (4.6) |
where
ρ=N1‖u0‖+N2‖[u1−g1(0,u(0))]‖+N1C2a+N2[‖b‖L2(L,R+)]√a+N22‖B‖2β(‖ua‖+N1‖u0‖+N2‖[u1−g1(0,u(0))]‖+N1C2a+N2[‖b‖L2(L,R+)]√a)+N1m∑i=1ci+N2m∑i=1li.K2=a(N1C2+N2e)(1+N22‖B‖2β). |
According to K2<1 and (4.6), we conclude,
‖u‖=supφ∈L‖u(φ)‖≤ρ+K2‖u‖, and thus ‖u‖≤ρ1−K2=:ℓ3. |
Therefore J is bounded which leads to the conclusion that Υβ has a fixed point.
Theorem 4.4. Suppose the conditions of the above theorem are satisfied. Then, if system (4.1) is approximately controllable on the set L, it follows that system (2.5) is also approximately controllable on L.
Proof. By Theorem 4.3, Υβ, for all β>0, has a fixed point in PC(L,M). Let uβ be a fixed point of Υβ in PC(L,M). Clearly, Υβ is a mild solution of (2.5). Then, there exists hβ∈M(uβ) such that for each φ∈L,
uβ(φ)=C(φ,0)u0+Q(φ,0)[u1−g1(0,u(0))]+∫φ0C(φ,z)g1(z,u(z))dz+∫φ0Q(φ,z)hβ(z)dz+∫φ0Q(φ,z)BB∗Q∗(a,z)R(β,Υa0)(×)(ua−C(a,0)u0−Q(a,0)[u1−g1(0,u(0))]−∫a0C(a,η)g1(η,u(η))dη−∫a0Q(a,η)hβ(η)dη−∑0<φi<aC(a,φi)Li(u(φi))−∑0<φi<aQ(a,φi)Ki(u(φi)))du+∑0<φi<φC(φ,φi)Li(u(φi))+∑0<φi<φQ(φ,φi)Ki(u(φi)). |
Since I−Υa0R(β,Υa0)=βR(β,Υa0), we have uβ(a)=ua−βR(β,Υa0)E(hβ). From the above,
E(hβ)=ua−C(a,0)u0−Q(a,0)[u1−g1(0,u(0))]−∫a0C(a,η)g1(η,u(η))dη−∫a0Q(a,η)hβ(η)dη−∑0<φi<aC(a,φi)Li(u(φi))−∑0<φi<aQ(a,φi)Ki(u(φi)). |
From the hypothesis (A1) and from Theorem 4.3, ‖∂H(φ,u)‖≤b(φ)+e‖u(φ)‖≤b(φ)+ep:=ν(φ). Then,
∫a0‖hβ(z)‖dz≤‖ν‖L2(L,R+)√a. |
Consequently {hβ} is a bounded sequence in L2(L,M). So, there exists a subsequence, {hβ}, which will converge weakly to h in L2(L,M). It is expressed as
g=ua−C(a,0)u0−Q(a,0)[u1−g1(0,u(0))]−∫a0C(a,η)g1(η,u(η))dη−∫a0Q(a,η)h(η)dη−∑0<φi<aC(a,φi)Li(u(φi))−∑0<φi<aQ(a,φi)Ki(u(φi)). |
Now,
‖E(hβ)−g‖=‖∫a0C(a,η)[g1(η,yβ(η))−g1(η,y(η))]dη‖+‖∫a0S(a,η)[hβ(η)−h(η)]dη‖≤M1sup0≤η≤a[g1(η,yβ(η))−g1(η,y(η))]+M2sup0≤η≤a[hβ(η)−h(η)]. | (4.7) |
From Step 2 in Theorem 4.3 and by the Arzelˊa-Ascoli theorem, we get that the compactness of the right-hand side of (4.7) tends to zero as β→0+, which gives
‖uβ(a)−u1‖=‖βR(β,Υa0)E(hβ)‖≤‖βR(β,Υa0)(g)‖+‖E(hβ)−g‖→0, as β→0+. |
Hence, (2.5) is approximately controllable on L.
We utilize our theoretical findings on a concrete partial differential equation. We need to provide the required technological resources to accomplish our goals.
Now, let us take
A(φ)=A+˜A(φ), |
where A is the infinitesimal generator of a cosine function C(φ) with associated sine function Q(t), and ˜A(φ):D(˜A(φ))→M is a closed linear operator with D⊂D(˜A(φ)), for all φ∈L. We take the space M=L2(T,C), where the group T is defined as the quotient R/2πZ, and we denote by L2(T,C) the space of 2π periodic 2-integrable functions from R to C. Also, we use the identification between functions on T and 2π periodic functions on R. Furthermore, H2(T,C) denotes the Sobolev space of 2π periodic from R to C such that u′′∈L2(T,C).
We define Au(φ)=u′′(φ) with domain D(A)=H2(T,C). Then, A can be written as
Au=∞∑n=1−n2⟨u,xn⟩xn,u∈D(A), |
where xn(φ)=1√2πeinφ(n∈Z) is an orthonormal basis of M. It is well known that A is the infinitesimal generator of a strongly continuous cosine function C(φ) on M. The cosine function C(φ) is given by
C(φ)u=∞∑n=1cosnt⟨u,xn⟩xn,u∈M,φ∈R. |
The connected sine operator (Q(φ))φ∈R is
Q(t)u=∞∑n=1sinntn⟨u,xn⟩xn,u∈M,φ∈R. |
It is clear that ‖C(φ)‖≤1 for all φ∈R, so it is uniformly bounded on R.
Assume the following second-order non-autonomous neutral differential system of the form:
∂∂φ[∂∂φu(φ,℘)−ˆg1(φ,y(φ,℘)]=∂2∂q2u(φ,℘)+B(φ)∂∂φu(φ,℘)+B˜v(φ,℘)+ϕ(φ,u(φ,℘)),0<φ<a,u(φ,0)=u(φ,π)=0, 0<φ<a,u(0,℘)=u0(℘),℘∈(0,π),∂∂φy(0,℘)=u1(℘),Δu(φk)(℘)=∫φk0bk(φk−φ)u(φ,℘)dφ,Δ∂∂φu(φk)(℘)=∫φk0bk(φk−φ)u1(φ,℘)dφ, | (5.1) |
where B:R→R is a continuous function such that supφ∈[0,a]‖B(φ)‖=c0, and u(φ,℘) represents the temperature at ℘∈(0,π) and φ∈(0,a). Let ϕ(φ,u(φ,℘))=ϕ1(ξ1,φ(φ,℘))+ϕ2(φ,u(φ,℘)) and ϕ2(φ,u(φ,℘)) is the temperature function of the form −ϕ2(φ,u(φ,℘))∈∂H(φ,℘,u(φ,℘)),(φ,℘)∈(0,a)×(0,π). Here, the nonsmooth and nonconvex function H=H(φ,℘,k) is defined as a locally Lipschitz energy function. ∂H is the generalized Clarke's gradient in the third variable k [6]. Assume that H fulfills the assumptions (A1), H(k)=min{h1(ν),h2(ν)}, and hi=R→R(i=1,2) are convex quadratic functions [16].
Now we take ˜A(φ)u(℘)=B(φ)u(℘) defined on H1(T,C). It is easy to see that A(φ)=A+˜A(φ) is a closed linear operator. Initially, we will show that A+˜A(φ) generates an evolution operator. It is well known that the solution of the scalar initial value problem
p′′(φ)=−n2p(φ)+q(φ),p(s)= 0, p′(s)= p1, |
is given by
p(t)=p1nsinn(φ−z)+1n∫φzsinn(φ−ı)q(ı)dı. |
Therefore, the solution of the scalar initial value problem
p′′(φ)=−n2p(φ)+inB(φ)p(φ), | (5.2) |
p(z)= 0, p′(z)=p1, | (5.3) |
satisfies the following equation:
p(φ)=p1nsinn(φ−z)+i∫φzsinn(φ−ı)B(ı)q(ı)dı. |
By the Gronwall-Bellman lemma, we obtain
|p(t)|≤p1nec(φ−z) | (5.4) |
for z≤φ and c is a constant. We denote by pn(φ,z) the solution of (5.2)-(5.3). We define
Q(φ,z)u=∞∑n=1pn(φ,z)⟨u,xn⟩xn,u∈M,φ∈R. |
It follows from the estimate (5.4) that Q(φ,z):M→M is well defined and satisfies the condition of Definition 2.1. We set u(t)=u(φ,⋅), that is, u(φ)(℘)=u(φ,℘), φ∈L, ℘∈[0,π]. Then, we assume the infinite dimensional Hilbert space V, and we have
V={v:v∈∞∑ȷ=1vȷxȷ with ∞∑ȷ=2v2ȷ<∞}, |
with V as
‖v‖V=(∞∑ȷ=2v2ȷ)12. |
Let us define B∈L(V,M) as below:
Bv=2v2x1+∞∑ȷ=2vȷxȷ<∞,for all v=∞∑ȷ=2vȷxȷ∈V. |
It continuous that
B∗v=(2v+v2)x2+∞∑ȷ=3vȷxȷ, for all v=∞∑ȷ=2vȷxȷ∈M. |
Assume these functions satisfy the requirements of the hypotheses. From the above choices of the functions and evolution operator A(φ) with B, system (5.1) can be formulated as system (2.5) in M. Since all hypotheses of Theorem 4.4 are satisfied, the approximate controllability of system (5.1) on L follows from Theorem 4.4.
The principles of approximate controllability of second-order differential impulsive systems with the impact of hemivariational inequalities are the main focus of this article. The generalized Clarke's subdifferential technique and multivalued maps were used to suggest and demonstrate the necessary requirements for existence and approximate controllability. In the future, we will extend the results with finite delay and stochastic systems.
Yong-Ki Ma: Conceptualization, Methodology, Validation, Visualization, Writing–original draft. N. Valliammal: Conceptualization, Formal analysis, Methodology, Validation, Visualization, Writing–original draft. K. Jothimani: Conceptualization, Formal analysis, Investigation, Resources, Supervision, Writing–original draft. V. Vijayakumar: Conceptualization, Formal analysis, Resources, Supervision, Writing–original draft, Writing–Review & Editing. All authors have read and approved the final version of the manuscript for publication.
This work was supported by the research grant of Kongju National University in 2024. The authors are immensely grateful to the anonymous referees for their careful reading of this paper and helpful comments, which have been very useful for improving the quality of this paper.
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
[1] | Aboura S, Chevallier J (2015) Volatility returns with vengeance: Financial markets vs. commodities. Res Int Bus Financ 33: 334–354. |
[2] |
Ahmed AD, Huo R (2019) Impacts of China's crash on Asia-Pacific financial integration: Volatility interdependence, information transmission and market co-movement. Econ Model 79: 28–46. doi: 10.1016/j.econmod.2018.09.029
![]() |
[3] |
Antonakakis N (2012) Exchange return co-movements and volatility spillovers before and after the introduction of euro. J Int Financ Mark Inst Money 22: 1091–1109. doi: 10.1016/j.intfin.2012.05.009
![]() |
[4] |
Awartani B, Maghyereh A (2013) Dynamic spillovers between oil and stock markets in the Gulf Cooperation Council countries. Energy Econ 36: 28–42. doi: 10.1016/j.eneco.2012.11.024
![]() |
[5] | Baek E, Brock W (1992) A general test for nonlinear Granger causality: Bivariate model. Iowa State University and University of Wisconsin at Madison Working Paper. |
[6] |
Bollerslev TR, Engle R, Wooldridge J (1988) A Capital asset pricing model with time-varying covariances. J Political Econ 96: 116–131. doi: 10.1086/261527
![]() |
[7] |
Burdekin R, Siklos P (2012) Enter the dragon: interactions between Chinese, US and Asia-Pacific equity markets, 1995–2010. Pacific-basin Financ J 20: 521–541. doi: 10.1016/j.pacfin.2011.12.004
![]() |
[8] |
Cheng H, Glascock J (2005) Dynamic linkages between the Greater China Economic Area stock markets—Mainland China, Hong Kong and Taiwan. Rev Quant Finance Account 24: 343–357. doi: 10.1007/s11156-005-7017-7
![]() |
[9] |
Chiang MC, Sing TF, Tsai IC (2017) Spillover risks in REITs and other asset markets. J Real Estate Financ Econ 54: 579–604. doi: 10.1007/s11146-015-9545-9
![]() |
[10] |
Chien M, Lee C, Hu T, et al. (2015) Dynamic Asian stock market convergence: Evidence from dynamic cointegration analysis among China and ASEAN-5. Econ Model 51: 84–98. doi: 10.1016/j.econmod.2015.06.024
![]() |
[11] |
Diebold F, Yilmaz K (2009) Measuring financial asset return and volatility spillovers, with applications to global equity markets. Econ J 119: 158–171. doi: 10.1111/j.1468-0297.2008.02208.x
![]() |
[12] |
Diebold F, Yilmaz K (2012) Better to give than to receive: predictive directional measurement of volatility spillovers. Int J Forecast 28: 57–66. doi: 10.1016/j.ijforecast.2011.02.006
![]() |
[13] |
Diebold F, Yilmaz K (2014) On the network topology of variance decompositions: measuring the connectedness of financial firms. J Econometrics 182: 119–134. doi: 10.1016/j.jeconom.2014.04.012
![]() |
[14] |
Diks C, Panchenko V (2006) A new statistic and practical guidelines for nonparametric Granger causality testing. J Econ Dyn Control 30: 1647–1669. doi: 10.1016/j.jedc.2005.08.008
![]() |
[15] | Dun&Bradstreet (2015) China' stock market crash, Special briefing, 2015. Available from: https://www.dnb.com/content/dam/english/economic-and-industry-insight/china_stock_market.pdf. |
[16] | Duncan A, Kabundi A (2012) Volatility spillovers across South African asset classes during domestic and foreign financial crises. Working paper 202, University of Johannesburg. |
[17] | Eichholtz P (1996) Does international diversification work better for real estate than for stocks and bonds? Financ Anal J 52: 56–62. |
[18] |
Fan K, Lu Z, Wang S (2009) Dynamic linkages between the China and International stock markets. Asia-Pacific Financ Mark 16: 211–230. doi: 10.1007/s10690-009-9093-5
![]() |
[19] |
Fung H, Huang A, Liu W, et al. (2006) The development of the real estate industry in China. Chinese Econ 39: 84–102. doi: 10.2753/CES1097-1475390104
![]() |
[20] |
Glick R, Hutchison M (2013) China's financial linkages with Asia and the global financial crisis. J Int Money Financ 39: 186–206. doi: 10.1016/j.jimonfin.2013.06.025
![]() |
[21] | Granger J (1969) Investigating causal relations by econometric models and cross-spectral methods. Econometrica 37: 424–438. |
[22] |
Groenewold N, Tang S, Wu Y (2004) The dynamic interrelationships between the Greater China share markets. China Econ Rev 15: 45–62. doi: 10.1016/S1043-951X(03)00029-4
![]() |
[23] | Hiemstra C, Jones J (1994) Testing for linear and nonlinear Granger causality in the stock price-volume relation. J Financ 49: 1639–1664. |
[24] | Huynh TLD, Hille E, Nasir MA (2020) Diversification in the age of the 4th industrial revolution: The role of artificial intelligence, green bonds and cryptocurrencies. Technol Forecast Social Change 159: 120188. |
[25] | Huynh TLD, Nasir MA, Nguyen DK (2020) Spillovers and connectedness in foreign exchange markets: The role of trade policy uncertainty. Q Rev Econ Financ. [In Press]. |
[26] | Ju XK (2020) Herding behaviour of Chinese A-and B-share markets. J Asian Bus Econ Stud 27: 49–65. |
[27] | Li X, Zou L (2008) How do policy and information shocks impact co-movements of China's T-bond and stock markets? J Bank Financ 32: 347–359. |
[28] |
Liow K (2015a) Conditional volatility spillover effects across emerging financial markets. Asia-Pacific J Financ Stud 44: 215–245. doi: 10.1111/ajfs.12087
![]() |
[29] | Liow K (2015b) Volatility spillover dynamics and relationship across G7 financial markets. North American J Econ Financ 33: 328–365. |
[30] |
Liow K, Huang Y (2018) The dynamics of volatility connectedness in international real estate investment trusts. J Int Financ Mark Inst Money 55: 195–210. doi: 10.1016/j.intfin.2018.02.003
![]() |
[31] | Louzis D (2013) Measuring return and volatility spillovers in Euro area financial markets. Working paper 154. Bank of Greece. |
[32] |
Maghyereh A, Awartani B, AL Hilu K (2015) Dynamic transmissions between the US and equity markets in the MENA countries: new evidence from pre-and post-global financial crisis. Q Rev Econ Financ 56: 123–138. doi: 10.1016/j.qref.2014.08.005
![]() |
[33] |
Ng A (2000) Volatility spillover effects from Japan and the US to the Pacific-Basin. J Int Money Financ 19: 207–233. doi: 10.1016/S0261-5606(00)00006-1
![]() |
[34] |
Pesaran H, Shin Y (1998) Generalized impulse response analysis in linear multivariate models. Econ Lett 58: 17–29. doi: 10.1016/S0165-1765(97)00214-0
![]() |
[35] |
Qiao Z, Chiang C, Wong W (2008) Long-run equilibrium, short-term adjustment, and spillover effects across Chinese segmented stock markets and the Hong Kong stock market. Int Fin Markets Inst Money 18: 425–437. doi: 10.1016/j.intfin.2007.05.004
![]() |
[36] | White Z (2015) China's stock market crash. House of Lords. In Focus, LIF 2015/0022. Available from https://lordslibrary.parliament.uk/research-briefings/lif-2015-0022/. |
[37] |
Sugimoto K, Matsuki T, Yoshida Y (2014) The global financial crisis: an analysis of the spillover effects on African stock markets. Emerging Mark Rev 21: 201–233. doi: 10.1016/j.ememar.2014.09.004
![]() |
[38] |
Tam P (2014) A spatial-temporal analysis of East Asian equity market linkages. J Comp Econ 42: 304–327. doi: 10.1016/j.jce.2014.03.008
![]() |
[39] |
Tsai IC (2015) Dynamic information transfer in the United States housing and stock markets. North Am J Econ Financ 34: 215–230. doi: 10.1016/j.najef.2015.09.012
![]() |
[40] | US-China Economic and Security Review Commission (2015) China' stock market meltdown shakes in the World, again, January 14,201. |
[41] | Wang G, Xie C, Jiang Z, et al. (2016) Who are the net senders and recipients of volatility spillovers in China's financial markets? Financ Res Lett 18: 255–262. |
[42] |
Weber E, Zhang Y (2012) Common influences, spillover and integration in Chinese stock markets. J Empir Financ 19: 382–394. doi: 10.1016/j.jempfin.2012.03.001
![]() |
[43] |
Yilmaz K (2010) Return and volatility spillovers among the East Asian equity markets. J Asian Econ 21: 304–313. doi: 10.1016/j.asieco.2009.09.001
![]() |
[44] |
Zhao H (2010) Dynamic relationship between exchange rate and stock price: Evidence from China. Res Int Bus Financ 24: 103–112. doi: 10.1016/j.ribaf.2009.09.001
![]() |
[45] |
Zhu H, Lu Z, Wang S (2004) Causal linkages among Shanghai, Shenzhen, and Hong Kong stock markets. Int J Theor Appl Financ 7: 135–149. doi: 10.1142/S0219024904002414
![]() |
[46] |
Zhou S, Zhang W, Zhang J (2012) Volatility spillovers between the Chinese and World equity markets. Pacific-Basin Financ J 20: 247–270. doi: 10.1016/j.pacfin.2011.08.002
![]() |